Ace PL-300 certification*
Prepare for PL-300 Certification Exam with:
- Live Virtual Classes with Microsoft Certified Instructors
- Hands-on Learning and Academic Support
- Exam Preparation Guide
- Hands-on Projects
Top-Rated Data Analytics Course
Data Analytics Essentials
Application closes on
15th May 2026
Speak with our expert
+1 512 877 8310
Our learners success stories
Our learners have achieved their dream career transitions in data analytics at leading companies.
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Offering unparalleled learning content and supportive tutors, the program was truly exceptional.
The Data Analytics exploration led by the academic team was truly exceptional. I commend their efforts for delivering an explicit, hands-on experience. The program caters adeptly to beginners and professionals alike, offering unparalleled learning content and supportive tutors. The management of class timing and project deadlines was impeccable, fostering optimal engagement. Queries were promptly and effectively addressed, enhancing the learning journey. Undoubtedly, this Data Analytics Essentials program will greatly impact my career pursuits.
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Sonia Osariemen Okojie
AML / KYC Analyst , Fulton Bank
18th Jun 2023
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The program is interactive and provides a solid foundation in Data Analytics.
The program was in-depth and interactive, providing me with a solid foundation. The various learning opportunities, including online lectures, live sessions, and hands-on projects, work together to reinforce the concepts.The ability to raise support tickets and get questions answered quickly is a great support for developing knowledge in Data Analytics.
Read More
Sean I Lago
Licensed Financial Services Representative , Charles Schwab
15th Jun 2023
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The weekly online mentor sessions were especially helpful before project due dates.
The Program Manager and mentors offered assistance with technical issues and program work, and the weekly online mentor sessions were especially helpful before project due dates. I learned a lot about the fundamentals of Data Analytics that I can apply to my work.
Read More
Sanjana Kattekola
Sales Enablement Specialist , FedEx
13th Jun 2023
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Invaluable mentorship provided constant support and guidance throughout the course.
I recently completed the program with Great Learning, and I'm excited to share my feedback. As an experienced Senior Accountant looking to transition into a more future-proof field after being laid off, this program was exactly what I needed. The standout feature was the knowledgeable and experienced faculty who made learning enjoyable and engaging. The hands-on projects provided valuable real-world experience, fostering collaboration and skill development. The mentorship was invaluable, providing constant support and guidance. I gained technical skills in Python, SQL, Tableau , critical thinking and communication skills essential for success in any field. I highly recommend this program for anyone looking to excel in Data Analytics.
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Moila Fearon
Executive Director , Pentacle
24th Mar 2023
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The Program Manager went above and beyond to ensure our success.
It was a great program, and the staff was helpful and thoughtful. I felt that my Program mManager went above and beyond to ensure that I and the entire cohort were successful and aided us when we needed assistance. I loved what I learned and am looking forward to taking up other programs with Great Learning.
Read More
Barbara
Program Spec vi , HHSC
21st Mar 2023
Learn more about the course
Get details on syllabus, projects, tools, and more
Data Analytics Essentials
Master data analytics applications and secure a future-ready career
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4.74 ( 6626 Ratings )
Application closes 15th May 2026
Program Outcomes
Advance your career in Data Analytics
Become a data analytics expert
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Perform descriptive and exploratory data analysis using Excel, SQL, Python, and visualization tools.
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Query, transform, and analyze data with SQL for insights; use Python for prep, EDA, and analysis.
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Understand the analytics lifecycle and apply AI-assisted workflows to speed exploration and insights.
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Validate AI-generated code and insights using analytical judgment and sanity checks.
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Analyze text data with NLP and GenAI, translating findings into clear business narratives.
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Apply embeddings, vector databases, and RAG concepts at an analyst level and build and deploy generative AI workflows.
Earn a Professional Certificate in Data Analytics from Texas McCombs
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#1 (U.S., Big Data Management) in MS Business Analytics
Eduniversal (2025)
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#6 Analytics
U.S. News & World Report (2025)
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#6 Business Programs
U.S. News & World Report (2025)
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#7 in MS - Business Analytics
QS World University Rankings (2022)
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#7 in MS Business Analytics
The Financial Engineer Times (2025)
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#3 in Information Systems Graduate Programs
U.S. News & World Report (April 2025)
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#7 Public University in the U.S.
U.S. News & World Report, 2026
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#6 in Executive Education - Custom Programs
Financial Times, 2022
Key program highlights
Why choose the data analytics essentials program?
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Learn from world’s top university
Earn a certificate from a world-renowned university, taught by the esteemed faculty
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Industry-ready curriculum
Learn the foundations of Python, GenAI, Data Visualization and more from top faculty. Gain valuable insights and apply your skills.
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Hands-on projects
Work on projects alongside established data scientists and fellow learners worldwide
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Get expert mentorship
Interact with mentors specialised in Data Analytics and get guidance to complete and showcase your projects
Skills you will learn
Data Analysis with Excel
Descriptive Statistics
Python Programming
Data Transformation with Pandas and Numpy
Exploratory Data Analysis (EDA)
Data Visualization with Seaborn and Tableau
Interactive Dashboard Creation
PowerBI
Generative AI and ChatGPT Applications
Storytelling with Data
SQL Querying and Data Management
Data Analysis with Excel
Descriptive Statistics
Python Programming
Data Transformation with Pandas and Numpy
Exploratory Data Analysis (EDA)
Data Visualization with Seaborn and Tableau
Interactive Dashboard Creation
PowerBI
Generative AI and ChatGPT Applications
Storytelling with Data
SQL Querying and Data Management
view more
Secure top data analytics jobs
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11.5 million
new jobs by 2026
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Up to $110K
avg annual salary
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$105 million
mkt value by 2027
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92%
orgs use data
Careers in Data Analytics
Here are the ideal job roles in Data Analytics:
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Data Analyst
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Product Analyst
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Business Analyst
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GenAI and Analytics Engineer
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BI Analyst
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Data Architect
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Data Engineer
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Data Journalist
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Research Analyst
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Data Scientist
Our alumni work at top companies
- Overview
- Career Transitions
- Why GL
- Learning Journey
- Curriculum
- Projects
- Tools
- Certificate
- Faculty
- Mentors
- Reviews
- Career support
- Fees
- FAQ
This program is ideal for
The Data Analytics Essential certificate program is designed for professionals looking to develop essential data analytics skills. It equips participants with the ability to interpret data, generate insights, and apply data-driven solutions in their careers or businesses.
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Early-Career Professionals
With 0-3 years of experience, looking to develop job-ready skills in Data Analytics and Business Intelligence domains.
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Professionals
Looking to build foundational analytics skills or enhance their capabilities with AI-assisted workflows.
Experience a unique learning journey
Our pedagogy is designed to ensure career growth and transformation
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Learn with self-paced videos
Learn critical concepts from video lectures by faculty and data analytics experts
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Engage with your mentors
Clarify your doubts and gain practical skills during the weekend mentorship sessions
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Work on hands-on projects
Work on industry-guided projects and apply the concepts & tools to solve business problems
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Get personalized assistance
Our dedicated program managers will support you whenever you need
Ace Power BI Certification
*Delivered by Great Learning in collaboration with Microsoft
Curriculum
Designed by the McCombs School of Business at The University of Texas at Austin, and industry experts, the curriculum for the Data Analytics Essentials Program is taught by renowned professors and industry practitioners. It covers the foundational concepts, key skills, and essential tools required to excel as a data analyst.
Pre-work
Build a strong foundation before starting the program by learning essential concepts in programming, statistics, and Generative AI.
Introduction to Excel
Master Excel basics by learning to automate calculations, organize raw data into structured tables, and use logical IF statements. Understand how to transform large datasets into structured, searchable information that supports analysis.
Descriptive Statistics
Learn how to identify patterns and trends in data using fundamental statistical concepts such as averages, distributions, and summary metrics. Develop the ability to quickly interpret datasets and understand the overall story behind the numbers.
Introduction to Generative AI
Get an overview of Large Language Models (LLMs), their capabilities and limitations, and their role in modern data analytics workflows. You will also create or update your GitHub account to begin building a portfolio for your analytics projects.
Course 1: Data Analytics and Generative AI Foundations
In this course, you will be introduced to Industry 4.0, key roles and responsibilities in the data industry, and real-world use cases that demonstrate how business problems are solved using data.
Analytics Life Cycle
Understand the step-by-step journey of how data is transformed into business decisions—from data collection and storage to analysis and insight generation. Through a real-world case study, you will learn how organizations uncover insights and use data to solve business problems.
LLMs and Prompt Engineering
Explore the fundamentals of Large Language Models (LLMs) and learn how to guide AI outputs through effective prompt engineering. You will also learn how to adjust parameters such as temperature and top-p to control model responses and enable AI to answer questions using your own documents and data sources.
Generating Insights Using Excel
Learn how to analyze datasets in Excel and transform your findings into clear summaries and professional visualizations. By the end of the week, you will be able to create charts and dashboards that highlight key trends and support data-driven business decisions.
Course 2: Data Analytics with SQL
In this course, you will learn how to query databases, transform data, and extract meaningful business insights using SQL.
Querying data with SQL
Learn how to use SQL to communicate with databases and retrieve specific information using filters and conditions. You will also learn how to calculate key metrics such as totals, averages, and counts across large datasets using simple queries.
Advanced Querying to extract business insights
Develop skills to clean and transform data by modifying text, dates, and formats using SQL functions. You will also learn how to combine multiple tables using joins to generate richer and more meaningful business insights.
Enhancing Query Proficiency
Learn to write more advanced SQL queries using window functions to calculate running totals, rankings, and comparisons across rows. You will also learn how to break down complex analytical problems using subqueries for more efficient analysis.
Project Week
Course 3: Data-Driven Insights Using Python
In this course, you will learn how to create analytical datasets by cleaning and transforming data using Python and perform Exploratory Data Analysis (EDA) to uncover patterns and insights.
Introduction to Python Programming
Learn the fundamentals of Python programming, including how to apply logic using conditional statements and loops to automate repetitive tasks. You will also learn to write efficient code using list comprehensions and create reusable components using functions.
Data Transformation Using Pandas
Develop practical skills using Pandas, a powerful Python library for data analysis. You will learn how to load, clean, modify, and merge datasets (DataFrames) to transform raw data into structured, analysis-ready datasets.
Exploratory Data Analysis
Focus on preparing and validating data before analysis. Learn how to identify errors, handle missing values, and detect outliers, enabling you to better understand the quality and reliability of your data.
Statistical Analysis for Decision Making
Shift from basic data observation to informed decision-making using statistics. Learn how to analyze small samples to draw meaningful conclusions about larger populations through statistical estimation and hypothesis testing, strengthening your ability to make data-driven claims.
Project Week
Course: 4 Building Generative AI Workflows
In this course, you will learn how to design, evaluate, and deploy Generative AI workflows for analytics applications using modern tools and frameworks.
Prompt Validation, Optimization, and Evaluation
Learn how to evaluate and improve prompt performance by curating ground-truth examples to measure model outputs objectively. You will implement LLM-as-a-Judge techniques and apply quantitative evaluation metrics such as Accuracy, F1 Score, and Exact Match. You will also learn how to calculate Inter-Annotator Agreement (IAA) to ensure reliable human evaluation benchmarks, and apply programmatic prompt optimization techniques using frameworks such as DSPy to improve model performance beyond manual prompting.
Building Generative AI Workflows and Deployment
Learn how to build end-to-end Generative AI workflows using frameworks such as LangChain to connect multiple LLM calls, external tools (such as SQL and search), and memory. You will also package workflows into functional applications using tools like Streamlit or FastAPI and implement observability techniques to monitor and debug AI pipelines.
Project Week
Self-Paced Course: Claude-Based AI Workflows
This module is designed to build practical capability in applying Generative AI and Agentic AI using the Claude ecosystem in real-world contexts. Learners build the ability to design, execute, and evaluate AI-driven workflows for real-world applications, supported by ~5 hours of structured learning.
*Disclaimer: Claude API access is not included as part of the program. Learners may explore advanced usage independently.
Design and Execute AI Workflows
- Model selection and prompt engineering using Claude Chat
- Agentic workflow design and orchestration using Claude CoWork
- Plan → Approve → Execute → Iterate framework
- Designing workflows with reasoning, tools, and multi-step execution
- Applying concepts through real-world case studies
Build and Deploy AI Systems at Scale
- API integration and model usage using Claude Code
- Tool integration using the Model Context Protocol
- Designing agentic systems with memory, tools, and orchestration
- Performance optimization, cost considerations, and system reliability
- Responsible AI principles, including alignment approaches such as Constitutional AI
Self-Paced Course: Data Visualization Using Tableau
Learn how to read, explore, and visualize data effectively using Tableau while building the ability to create interactive dashboards and communicate insights through clear, compelling data stories. Strengthen your storytelling with data skills by turning raw datasets into meaningful narratives that support business decisions.
Self-Paced Agentic AI Masterclass
Learn the fundamentals of Agentic AI and understand how intelligent systems can autonomously solve complex business problems. This self-paced masterclass introduces the need for multi-agent systems and walks you through a hands-on demonstration of how multiple AI agents collaborate to execute real-world tasks efficiently.
Hands-on learning & projects
Work on projects and implement your skills with established data experts and fellow learners from around the world
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20
learners group
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2-way
audio-video interaction
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3
Hands-on projects
Health Insurance
Healthcare Claims Denials & Operations Analytics
Description
Health insurance companies process millions of medical claims each year. A significant portion of operational costs arises from claim denials, delayed processing, and rework. Repeated submissions, documentation issues, and provider-specific patterns can lead to higher operational expenses and longer turnaround times.
Skills you will learn
- Python Basics
- Pandas
- NumPy
- Data Preprocessing
- Data Visualization (Seaborn and Matplotlib)
- Exploratory Data Analysis
Finance
Credit Card Churn Analytics
Description
Credit card businesses rely heavily on customer retention, where revenue is driven by customers who continue using their cards over time. Even small increases in churn can lead to significant revenue losses due to reduced spending, lower interchange revenue, loss of fee and interest income, and higher customer acquisition costs.
Skills you will learn
- MySQL Workbench
- Databases
- Data Fetching
- Filtering
- Aggregations
- Joins
- Window Functions
- Subqueries
- Order of Execution
Sales
Sales Intelligence & Pitch Scoring
Description
Sales leadership often lacks visibility into the quality of sales conversations. While outcomes such as closed or lost deals are known, the reasons behind them are often unclear. Identify whether sales representatives effectively communicate key value propositions, where conversations break down, and how product friction points mentioned in calls correlate with lost deals.
Skills you will learn
- Python
- Text and NLP Libraries (SpaCy, Sentence Transformers)
- Vector Stores (Conceptual + Guided Use)
Master in-demand data analytics tools
Learn relevant skills, tools, and concepts
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Python
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Excel
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RDBMS
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Business statistics
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Tableau
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powerBI
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SQL
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Gemini
Earn a Professional Certificate in Data Analytics
Get a certificate of completion and 4.5 Continuing Education Units from a leading U.S. university.
* Image for illustration only. Certificate subject to change.
Meet your faculty
Learn new data analytics skills each week from top faculty and expert business analysts
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Dr. Daniel A Mitchell
Clinical Assistant Professor, McCombs School of Business, The University of Texas at Austin
Ph.D. in Information, Risk, and Operations Management
15+ years of experience in financial engineering
Know More
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Dr. Kumar Muthuraman
Faculty Director, McCombs School of Business, The University of Texas at Austin
Faculty Director, Center for Analytics and Transformative Technologies
21+ years' experience in AI, ML, Deep Learning, and NLP.
Know More
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Mr. R Vivekanand
Co-Founder and Director
Expert in data visualization and marketing econometrics with 10+ years
Qualified Tableau trainer passionate about teaching business analytics
Know More
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Dr. Bradford Tuckfield
Co-Founder & Director, Wilson Consulting
10+ years of expertise in statistics, programming, and machine learning.
PhD. from the Wharton School, University of Pennsylvania
Know More
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Mr. Faraaz Ahmed Sheriff
Senior Data Scientist
Expert in advanced analytics and evidence-based decision-making.
Extensive experience consulting for Fortune 500 companies.
Know More
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LinkedIn Profile
University LinkIndustry mentors from top organizations
Collaborate with mentors in small group sessions to apply skills, overcome challenges, and network globally
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Ali Masri
Lead Data Engineer Ford Motor Company
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Akshay Singhal
Data Scientist, AI Engineering Applied Systems
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Hassan Saidinejad
Data Scientist Intact
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Sam Rahbar
Senior Applied Scientist Dialpad
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Harsh Langalia
Senior Data Engineer SoFi
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Hassan Waqar Ahmad
Customer Engineer Specialist - Data Analytics & AI, Google
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Abhishek Kanaparthi
Senior Lead Data Scientist & Engineer, CNN
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Michel Semaan
Analytics Lead, Transaction Banking, Allica Bank
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Arunima Agrawal
Senior Analytics Consultant, Tiger Analytics
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Mahmud Koulizade
Data Science Manager, Shift Technology
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Watch inspiring success stories
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Watch story
"The SQL and Python course enhanced my ability to extract practical insights from data"
The program offered practical exercises in data analysis and programming. Professors were highly skilled, and the focus on SQL and Python greatly improved my technical abilities.
Ashenafi Terefe
Medical Technologist , USF
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Watch story
"Hands-on projects and 1:1 sessions helped me build confidence in SQL, Python, and data visualization"
The program offered a solid foundation in SQL, Python, and data visualization. The hands-on projects were highly effective in reinforcing learning, and the 1:1 sessions ensured I had the support I needed.
Alexa Martin
Senior HR DOT Compliance Analyst , DHL
Get dedicated career support
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Learning Support
Get guidance from a dedicated Program Manager, academic support via Great Learning Community, forums, and peer groups
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Interview preparation
Get an insiders perspective to understand what recruiters are looking for
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Resume & Profile review
Get your resume and LinkedIn profile reviewed by our experts to highlight your skills & projects
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E-portfolio
Build an industry-ready portfolio to showcase your mastery of skills and tools
Course fees
The course fee is USD 3,100
Data Analytics Essentials Program: USD 2000
PL-300 Certification Training Program*: USD 1100
Invest in your career
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Understand data analytics from business, technical, and conceptual aspects
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Analyze and visualize data using Excel, SQL, Python, and Tableau
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Query and manage databases using SQL to generate insights and reports
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Solve business problems with data storytelling and end-to-end Python analytics
*Great Learning delivers the PL-300 certification training program in collaboration with Microsoft. The University of Texas at Austin is not Involved in the program’s design or delivery
Easy payment plans
Avail our flexible payment options & get financial assistance
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INSTALLMENT PLANS
Upto 3 months Installment plans
Explore our flexible payment plans
View Plans
Third Party Credit Facilitators
Check out different payment options with third party credit facility providers
*Subject to third party credit facility provider approval based on applicable regions & eligibility
Admission Process
Admissions close once the required number of participants enroll. Apply early to secure your spot
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1. Fill application form
Apply by filling a simple online application form.
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2. Interview Process
A panel from Great Learning will review your application to determine your fit for the program.
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3. Join program
After a final review, you will receive an offer for a seat in the upcoming cohort of the program.
Batch start date
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Online · 30th May 2026
Admission closing soon
Frequently asked questions
Program Details
How will I be assessed during the Data Analytics course online?
The Data Analytics Essentials program is extensive, and learners are continually evaluated through quizzes, assignments, and projects.
What tools and techniques will the PL-300 Microsoft Power BI certification course cover?
This add-on Data analyst certification online program covers topics such as Power BI Desktop, Power Query, Data Modeling, Visualizations, DAX functions, and more. Additionally, learners will be exposed to best practices in Power BI Data Analytics, further preparing them for the PL-300 Microsoft Power BI Data Analyst exam.
Does the PL-300 Microsoft Power BI Data Analyst course include practice examinations?
Yes, the program features practice exams that mirror the PL-300 Microsoft Power BI certification test.
Why should I choose this Data Analytics course for beginners from the McCombs School of Business at The University of Texas at Austin?
The McCombs School of Business at the University of Texas at Austin is a well-respected business school in the USA. It is known for its comprehensive programs in areas such as entrepreneurship, finance, and accounting. With a proven track record of success, along with cutting-edge research and innovative teaching methods, you can be confident that you are learning from some of the best in the field.
How can I become a Microsoft Certified Power BI Data Analyst Associate?
You will have the option to enroll in an add-on Microsoft Power BI Data Analytics program alongside the Data Analytics Essentials program.
Upon successfully completing the Microsoft Power BI Certification Program and passing the PL-300 exam, learners will earn the Microsoft Power BI Data Analyst certification.
Is this program a data analytics certification?
No. This Data Analytics Essentials program is a data analytics certificate program and not a certification. Upon completing the program, participants receive a certificate of completion in Data Analytics Essentials from the McCombs School of Business at The University of Texas at Austin. Additionally, you will get an option to complete PL-300 Microsoft Power BI Data Analytics certification program, where you will get a certification.
Will the sessions be live or recorded?
Learners will participate in live and interactive sessions over the weekend. If they miss any sessions, they can watch the recorded versions later at their convenience. Along with the live mentorship sessions, recorded lectures from Texas McCombs faculty and industry experts will be uploaded to the Learning Management System (LMS) on a weekly basis.
Will I be awarded any data science certificate after completing the course?
Upon successfully completing the program, you will receive a certificate of completion in Data Analytics Essentials from the McCombs School of Business at The University of Texas at Austin.
Will I receive any career support after completing this program in data analytics?
Yes, when you choose this data analytics program, you will receive career support from Great Learning, a reputed ed-tech platform for higher education and professional development.
The career support services you will receive are as follows:
Career Sessions: You will engage with industry experts and get dedicated career assistance.
Resume and LinkedIn Profile Review: This program will assist you in creating a top-notch resume that highlights your skills and prior work experience.
What job opportunities will become available after passing the Microsoft PL-300 Exam and obtaining the Certification?
By successfully completing the Microsoft PL-300 course and obtaining certification, learners will enhance their professional profiles, readying them for positions such as Data Analyst, Power BI Developer, Business Intelligence Analyst, and beyond.
What is the Data Analytics Essentials course from the McCombs School of Business at the University of Texas at Austin?
The Data Analytics Essentials program from the McCombs School of Business at the University of Texas at Austin is a 16-week online program designed to develop the critical analytics foundational skills you need to enter the world of data. This is among the best data science programs for beginners, designed by award-winning UT Austin faculty. These are some of the program highlights:
Duration: 16 weeks
Format: Online
Hands-on projects: Yes
Dedicated Program Manager: Yes
Career Support: Yes
Academic Learning Support: Yes (GL Community, Project Discussion Forums, Peer Groups)
Certificate: Yes. On successful completion, you will earn a Certificate of Completion from UT Austin
Continuing Education Units: Yes. Earn 5.0 Continuing Education Units (CEUs) on successful completion of the program.
What is the duration of this UT Austin Data Analytics certificate course?
The program duration is 16 weeks, and it includes hands-on projects on real-world business problems. The program curriculum is designed by the McCombs School of Business faculty. Industry leaders take the live online masterclasses over the weekend.
Will I still have access to the learning materials after completing the course?
We believe learning should be continuous; therefore, all lectures and learning materials will be available to students for three years after they complete the Data Analytics Essentials program.
What career opportunities will I receive after completing this Data Analytics program by Texas McCombs?
Upon successful completion of this program, you can pursue a broad range of career opportunities. Some of the most in-demand entry-level jobs in Data Analytics include the following:
Data Analyst
Business Analyst
BI Analyst
Data Journalist
Research Analyst
Product Analyst
Analytics Engineer
Data Architect
Data Engineer
What role does Great Learning play in this data analytics course for beginners?
The Data Analytics Essentials program is developed by Texas McCombs in partnership with Great Learning, a leading ed-tech platform for higher education and professional development.
Great Learning offers the following career support services to the learners of this program:
Career Sessions: Learners will interact directly with industry experts to gain career insights.
Resume and LinkedIn Profile Review: The program will help learners put together an outstanding resume that highlights their abilities and previous employment experience.
Interview Preparation: Learners can gain an insider's perspective on what hiring managers are looking for and learn how to ace interviews with the help of interview preparation sessions.
E-Portfolio: Learners will discover how to build an industry-ready portfolio to showcase their proficiency with languages, tools, and skills.
Learners will also get personalized assistance with a dedicated program manager from Great Learning to guide them for all their queries.
What exactly does mentored learning involve?
Mentored sessions are the live online mentorship sessions over the weekend, designed for dynamic two-way voice and video communication. In these engaging sessions, you will be part of a focused micro-class consisting of 20-25 learners, ensuring personalized attention and a collaborative learning environment.
Who would be the faculty teaching this Data Analytics beginners’ course?
The program will be taught by world-renowned faculty from Texas McCombs. Leading industry experts will conduct the industry sessions. The curriculum has been designed by UT Austin faculty to help you understand the fundamentals of data analytics.
What tools are covered in this data science course for beginners?
You will get familiar with several in-demand skills and tools in this program, including:
Excel
Python
RDBMS
Querying Data with SQL
NumPy
Pandas
Data Visualization using Tableau
What is the Data Analytics program syllabus for beginners?
The program syllabus has been developed to fulfill the requirements for an entry-level data science job. This curriculum will discuss the following topics to help learners pursue fruitful careers in Data Analytics:
Pre-Work Module: Introduction to Excel, Descriptive Statistics
Data Analytics Foundations: Overview of the World of Data and Generating Insights using Excel.
Data Analytics with SQL: Querying Data with SQL and Advanced Querying to extract business insights.
Data-driven Insights using Python: Data Transformation using Numpy and Pandas, Data Visualization with Seaborn, and Exploratory Data Analysis.
Self-Paced Modules: Creative Storytelling with Tableau, Building Interactive Dashboards using Tableau, ChatGPT and its applications.
PL-300- Microsoft Power BI Data Analytics certification Training Program for the preparation of the Microsoft Power BI Data Analyst PL-300 certification exam.
What is unique about this Data Analytics beginners course?
The Data Analysis beginners' program is unique in the following aspects:
Learners will learn from professional data analysts with a variety of backgrounds, weekly one-on-one mentoring sessions, and frequent real-world case studies and hands-on projects.
Through expert-led sessions, self-paced videos, hands-on projects, and in-depth mentoring sessions, the program brings concepts related to data analytics to life.
Learners will develop analytical skills through the comprehensive curriculum.
What are the benefits of enrolling in this Data Analytics program from the McCombs School of Business at the University of Texas at Austin?
The benefits of enrolling in this world-class and best Data Analytics course for beginners include the following:
The McCombs School Advantage: The McCombs School of Business at the University of Texas at Austin is a reputable business school at a renowned public research university. Learners can rest assured that they are learning from the best of the best.
Industry-relevant Curriculum: Several highly qualified faculty members from the McCombs School developed the curriculum for this program. This comprehensive curriculum covers industry-relevant subjects, such as Excel, Python Programming, Descriptive Statistics, Data Analytics Foundations, SQL, Numpy, Pandas, Exploratory Data Analysis (EDA), Generative AI and Data Visualization with Tableau.
Interactive Sessions: Through live interactive micro-classes, learners can connect with mentors and peers.
Hands-on Learning: With hands-on learning, learners will gain in-depth knowledge of various critical concepts and discover how to apply them in the real world.
Prominent Faculty and Industry Experts: In order to give learners a practical understanding of essential concepts, the program brings together the distinguished faculty of The McCombs School and a global team of highly skilled Data Analysts and Business Analysts.
Industry-relevant Projects: Learners will work on hands-on projects spread across various modules. They will implement these projects alongside established data experts and fellow learners worldwide.
Live Online Mentoring Sessions: During these sessions, learners can speak with mentors from various fields. Additionally, they will gain assistance with projects and other critical concepts through live mentoring sessions.
Great Learning Advantage: Learners will gain access to dedicated career support from Great Learning throughout their educational journey, including career guidance sessions, resume reviews, LinkedIn Profile reviews, interview preparation, and e-portfolios.
Become Job-ready: This data analyst course for beginners will equip learners with theoretical knowledge and practical skills through case studies and hands-on projects. They will enhance their resume and secure career opportunities with Great Learning’s career support program. They’ll also get the opportunity to network with well-established industry experts, increasing their chances of succeeding in the Data Analytics field.
What is the ranking of the McCombs School of Business at the University of Texas at Austin?
The McCombs School of Business at the University of Texas at Austin is ranked
#6 in MS - Business Analytics (QS World University rankings, 2024)
#4 in Master’s in Business Analytics (QS World University Rankings, 2023)
#6 in Executive Education Custom Programs (Financial Times, 2022)
#1 in U.S., Big Data Management in MS Business Analytics (Eduniversal, 2024)
Admissions & Eligibility
Who is the Data Analysis for Beginners course best suited for?
This is among the best data science courses for beginners and is best suited for:
Recent graduates and early career professionals looking to acquire job-ready skills in business intelligence and data analytics domains. The program trains and prepares students for job roles like business analyst or data analyst.
Candidates looking to enter the world of data and leverage it to make analytical decisions across several industries.
Candidates who want to develop the fundamentals of data analysis over a short timeframe with a realistic resource investment.
Who can apply for this Microsoft Power BI Certification Program?
Learners in the Data Analytics program seeking career advancement and Microsoft Power BI certification can enroll. It focuses on Power BI and welcomes anyone interested in Power BI Data Analytics.
What is the deadline to enrol in this Data Analytics course for beginners?
The admissions are closed after the required number of participants has registered for the upcoming cohort. The seats available for this program are subject to the first-come, first-served rule. Apply early to secure your seats.
What is the admission process to pursue this Data Analysis course for beginners?
To enroll in this program, the applicants must meet the eligibility criteria mentioned earlier. The admission process for the eligible candidates is provided below:
1. Fill application form
Apply by filling a simple online application form.
2. Interview Process
A panel from Great Learning will review your application to determine your fit for the program.
3. Join the program
After a final review, you will receive an offer for a seat in the upcoming cohort of the program.
Note: Document verification is required prior to admission to the program
Fee Related Queries
Does this course have a refund/cancellation policy?
Submitting the admission fee confirms your enrollment in the program, and the following cancellation policies apply:
Within 48 Hours of Enrollment: Full refund.
After 48 Hours: Admission fee is non-refundable.
Fee Paid Beyond the Admission Fee:
>4 Weeks Before Start Date: Full refund.
>2 Weeks Before Start Date: 75% refund.
>24 Hours Before Start Date: 50% refund.
Requests received after the Commencement Date are not eligible for a refund.
Cancellation must be requested in writing to the program office.
Are books or online learning resources subject to additional fees?
All learning materials will be accessible through the Learning Management System (LMS). Please note that there will be no additional fees associated with books or other learning resources.
What is the data analytics course fee?
The fee to pursue this program is USD 2900*.
Data Analytics Essentials Program: USD 2000
PL-300 certification Training program (Power BI certification cost): USD 900 *Great Learning delivers the PL-300 certification training program in collaboration with Microsoft. The University of Texas at Austin is not Involved in the program’s design or delivery
[Contact our admissions office at +1 512 877 8310 for more details on fees, payment plans and upcoming cohort]
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4.74 ( 6626 Ratings )
Application Closes
15th May 2026
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Delivered in Collaboration with:
McCombs School of Business at The University of Texas at Austin is collaborating with Great Learning to deliver certificate program in Data Analytics Essentials. Great Learning is an ed-tech company that has empowered learners from over 170+ countries in achieving positive outcomes for their career growth.
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