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University & Pro Programs

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McCombs School of Business at The University of Texas at Austin

Post Graduate Program in Data Science with Generative AI: Applications to Business

7 months  • Online

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MIT Professional Education

Applied AI and Data Science Program

14 Weeks  • Live Online

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Master Data Analytics in Excel
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2 projects
Master Data Analytics in Excel

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Web and Digital Analytics Essentials
1 project
Web and Digital Analytics Essentials

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Free Data Analytics Courses

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img icon BASICS
Introduction to Analytics
star   4.51 87K+ learners 2 hrs
Introduction to Analytics

Skills: Spectrum of Analytics, Descriptive Analytics

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Applications of Analytics
star   4.57 8.2K+ learners 2.5 hrs
Applications of Analytics

Skills: E-commerce Industry, Insurance company archirecture and Analysis

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Python for Data Analysis
star   4.5 78.1K+ learners 2 hrs
Python for Data Analysis

Skills: Data Analysis Fundamentals, Python Jupyter Notebook, Working with Data Libraries, Dataset Management, Analyzing IPL and Football Datasets, Analyzing Marvel Superheroes Dataset, Creating Data Visualizations, Loading Multiple Dataset Formats

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Introduction to Database and SQL
star   4.55 34.3K+ learners 1.5 hrs
Introduction to Database and SQL

Skills: Database and SQL Fundamentals,MySQL Basics,Fetching Data,Filtering Data,Aggregating Data,Joining Data,Order of execution in SQL

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img icon BASICS
SQL for Data Science
star   4.51 175.2K+ learners 3 hrs
SQL for Data Science

Skills: Data Analysis, SQL, SQLite, Power BI, SQL With Python, SQL Clauses, GROUP BY Statement, HAVING Clause, Aliases In SQL, Joins in SQL, Subqueries, Python Concepts With SQL

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Data Visualization using Tableau
star   4.52 115K+ learners 2 hrs
Data Visualization using Tableau

Skills: Business Intelligence Fundamentals, Data Visualization Principles, Introduction to Tableau, Understanding Data Types, Navigating the Tableau Interface, Creating Dashboards, Visual Analytics Techniques, Hands-on Tableau Exercises, Integrating Data Sources.

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Data Visualization With Power BI
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star   4.52 360.4K+ learners 1.5 hrs
Data Visualization With Power BI

Skills: Power BI usage, data loading, creating reports, dashboards, slicers & filters, visual interactivity

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Introduction to Machine Learning
star   4.46 76.6K+ learners 1 hr
Introduction to Machine Learning

Skills: Introduction to Machine Learning, Supervised Learning, Unsupervised Learning, Linear Regression, Classification, Recommender System, Kaggle, Hackathon, ML on Cloud, Data Science, Model Training, Machine Learning Platforms, Data-Driven Intelligence

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Supervised Machine Learning with Logistic Regression and Naïve Bayes
star   4.43 21.7K+ learners 2 hrs
Supervised Machine Learning with Logistic Regression and Naïve Bayes

Skills: Scikit Learn Library,Logistic Regression, Naïve Bayes

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Probability and Probability Distributions for Machine Learning
star   4.49 20.5K+ learners 1.5 hrs
Probability and Probability Distributions for Machine Learning

Skills: Marginal Probability, Bayes Theorem , Binomial Distribution, Normal Distribution, Poisson Distribution

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Excel Regression Analysis
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star   4.47 18.8K+ learners 1 hr
Excel Regression Analysis

Skills: Hands on knowledge of Regression Analysis using Excel

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Intro to Exploratory Data Analysis with Excel
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star   4.59 16.3K+ learners 1.5 hrs
Intro to Exploratory Data Analysis with Excel

Skills: EDA Basics ,Data Analysis ,Data Cleaning,Data Manipulation,Univariate Analysis

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img icon BASICS
Introduction to Analytics
Introduction to Analytics
star   4.51 87K+ learners 2 hrs

Skills: Spectrum of Analytics, Descriptive Analytics

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img icon BASICS
Applications of Analytics
Applications of Analytics
star   4.57 8.2K+ learners 2.5 hrs

Skills: E-commerce Industry, Insurance company archirecture and Analysis

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img icon BASICS
Python for Data Analysis
Python for Data Analysis
star   4.5 78.1K+ learners 2 hrs

Skills: Data Analysis Fundamentals, Python Jupyter Notebook, Working with Data Libraries, Dataset Management, Analyzing IPL and Football Datasets, Analyzing Marvel Superheroes Dataset, Creating Data Visualizations, Loading Multiple Dataset Formats

View Course

img icon BASICS
Introduction to Database and SQL
Introduction to Database and SQL
star   4.55 34.3K+ learners 1.5 hrs

Skills: Database and SQL Fundamentals,MySQL Basics,Fetching Data,Filtering Data,Aggregating Data,Joining Data,Order of execution in SQL

View Course

img icon BASICS
SQL for Data Science
SQL for Data Science
star   4.51 175.2K+ learners 3 hrs

Skills: Data Analysis, SQL, SQLite, Power BI, SQL With Python, SQL Clauses, GROUP BY Statement, HAVING Clause, Aliases In SQL, Joins in SQL, Subqueries, Python Concepts With SQL

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img icon BASICS
Data Visualization using Tableau
Data Visualization using Tableau
star   4.52 115K+ learners 2 hrs

Skills: Business Intelligence Fundamentals, Data Visualization Principles, Introduction to Tableau, Understanding Data Types, Navigating the Tableau Interface, Creating Dashboards, Visual Analytics Techniques, Hands-on Tableau Exercises, Integrating Data Sources.

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Data Visualization With Power BI
Data Visualization With Power BI
star   4.52 360.4K+ learners 1.5 hrs

Skills: Power BI usage, data loading, creating reports, dashboards, slicers & filters, visual interactivity

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img icon BASICS
Introduction to Machine Learning
Introduction to Machine Learning
star   4.46 76.6K+ learners 1 hr

Skills: Introduction to Machine Learning, Supervised Learning, Unsupervised Learning, Linear Regression, Classification, Recommender System, Kaggle, Hackathon, ML on Cloud, Data Science, Model Training, Machine Learning Platforms, Data-Driven Intelligence

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img icon BASICS
Supervised Machine Learning with Logistic Regression and Naïve Bayes

Skills: Scikit Learn Library,Logistic Regression, Naïve Bayes

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img icon BASICS
Probability and Probability Distributions for Machine Learning

Skills: Marginal Probability, Bayes Theorem , Binomial Distribution, Normal Distribution, Poisson Distribution

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img icon BASICS
Excel Regression Analysis
Excel Regression Analysis
star   4.47 18.8K+ learners 1 hr

Skills: Hands on knowledge of Regression Analysis using Excel

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Intro to Exploratory Data Analysis with Excel
Intro to Exploratory Data Analysis with Excel
star   4.59 16.3K+ learners 1.5 hrs

Skills: EDA Basics ,Data Analysis ,Data Cleaning,Data Manipulation,Univariate Analysis

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Learn Data Analytics For Free & Get Completion Certificates

Learn Data Analytics For Free & Get Completion Certificates

Data analytics converts raw data into actionable insights. It includes a range of tools, technologies, and processes used to find trends and solve problems by using data. This practice is crucial for businesses to make better decisions, verify patterns, and elucidate trends within massive data sets. Data analytics proves particularly effective in industries ripe for job creation.

Upskill yourself in this field by joining Great Learning's Data Analytics courses. It offers training from beginner to advanced levels.

Types of Analytics

The two main types of analytics are as follows:

Descriptive Analytics: Understanding the "What"

Descriptive Analytics is the first step in data analysis. It aims to answer "what" questions about business trends and Return on Investment (ROI). This form of analysis does not jump to conclusions; instead, it summarizes data to offer the most appropriate solutions.  People use advanced methods such as predictive and prescriptive analytics after learning the basics.

Advanced Analytics: Exploring the "What If"

Advanced Analytics goes beyond basic descriptive methods by utilizing tools like Machine Learning, classical statistics, neural networks, sentiment analysis, and Natural Language Processing (NLP). This allows for deeper insights and answers to "what if" questions, enabling businesses to predict and discover new trends. The availability of Machine Learning techniques, cost-effective computing, and massive data sets significantly supports the use of Advanced Analytics in various industries.

Benefits of Data Analytics in Industries

  • Competitive Advantage: Data analytics helps businesses stay ahead of the curve in their industries.
  • Informed Decisions: Data provides insights for making strategic choices.
  • Cost Reduction: Analyzing helps identify areas to optimize spending.
  • Improved Customer Service: We can use data to personalize experiences and better address customer needs.
  • Marketing Optimization: Data analytics helps target marketing efforts more effectively.
  • Increased Efficiency: Analyzing data can lead to streamlined operations and improved workflows.

Upskilling in Data Analytics

The Data Science and Business Analytics Program at Austin's McCombs School of Business, is a structured program. The program helps people get the most out of data analytics. It prepares students for high-demand jobs in the field by teaching them all about data analytics from experts in the field. It also includes hands-on projects that address problems in the real world.

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Skills: EDA Basics ,Data Analysis ,Data Cleaning,Data Manipulation,Univariate Analysis

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Skills: E-commerce Industry, Insurance company archirecture and Analysis

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star   4.52 2.1K+ learners 1 hr
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Skills: Introduction to Hierarchical Clustering, Agglomerative Hierarchical Clustering, Euclidean Distance, Manhattan Distance, Minkowski Distance, Jaccard Index, Cosine Similarity, Optimal Number of Clusters

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Skills: Scikit Learn Library, Decision Tree, Random Forest, Demonstration for Algorithms

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Skills: Practical visualization walkthrough, IPL data analysis with Python

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Skills: Hypothesis Testing, T-test

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Skills: Exponential Smoothing, ARIMA, Time Series in R

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Skills: Central Tendency, Measures of Variability, Measure of Skewness, Kurtosis

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SQL for Data Science
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Data Visualization using Tableau
star   4.52 115K+ learners 2 hrs
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Skills: Business Intelligence Fundamentals, Data Visualization Principles, Introduction to Tableau, Understanding Data Types, Navigating the Tableau Interface, Creating Dashboards, Visual Analytics Techniques, Hands-on Tableau Exercises, Integrating Data Sources.

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Introduction to Analytics
star   4.51 87K+ learners 2 hrs
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Skills: Spectrum of Analytics, Descriptive Analytics

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Python for Data Analysis
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Introduction to Machine Learning
star   4.46 76.6K+ learners 1 hr
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Skills: Introduction to Machine Learning, Supervised Learning, Unsupervised Learning, Linear Regression, Classification, Recommender System, Kaggle, Hackathon, ML on Cloud, Data Science, Model Training, Machine Learning Platforms, Data-Driven Intelligence

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Introduction to Database and SQL
star   4.55 34.3K+ learners 1.5 hrs
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Our learners share their experiences of our courses

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Reviewer Profile
Dr Shibeshi Alebachew linkedin icon

5.0

★★★★ ★
“I Pursued This Course with Great Enthusiasm Due to Its Outstanding Structure and Delivery”
Great Learning offers an amazing range of free online courses across various fields, and I’ve greatly benefited from their resources. The courses are well-structured and accessible, making learning flexible and enjoyable. I appreciate the commitment to providing quality education for everyone. Please continue to expand this initiative with even more course options. It truly empowers learners like me to enhance our skills and knowledge!
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Umahi Wilfred linkedin icon

5.0

★★★★ ★
Country Flag Nigeria
“My Learning Experience Highlights”
The course content was in-depth and easy to follow. The instructor has a great understanding of the concepts and explains each case with relatable examples.
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Reviewer Profile
SACHIN KUMAR linkedin icon

4.0

★★★ ★ ☆
Country Flag India
“Analytics Fundamentals by Great Learning - A Comprehensive Introductory Course”
The "Introduction to Analytics" course by Great Learning provides an excellent foundation for beginners in data analytics. It covers essential topics, from data types and manipulation to basic visualization techniques, making the material easy to grasp. I particularly enjoyed the hands-on exercises and quizzes, which reinforce the concepts effectively. Overall, it's a well-structured, beginner-friendly course that builds core skills in a straightforward, practical way.
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Reviewer Profile
MohammadAli Kadiwala linkedin icon

5.0

★★★★ ★
Country Flag India
“It Covers Essential Topics Like Python Programming, Data Manipulation, Data Visualization, Statistics, Machine Learning, and More”
The inclusion of practical exercises, projects, and case studies makes the learning experience interactive and engaging. It allows learners to apply theoretical knowledge in real-world scenarios, which is critical in mastering data science skills. I like how it promotes active learning rather than just passive consumption of information.
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Cynthia Aguonye linkedin icon

5.0

★★★★ ★
Country Flag Nigeria
“Gaining Real-World Insights with Data Science Analytics”
I enjoyed gaining hands-on experience with real datasets, learning to clean, analyze, and visualize complex data for meaningful insights. It was also incredibly fulfilling to see how predictive modeling could be applied to make accurate forecasts and solve practical problems. The skills I developed in data preprocessing, feature selection, and model evaluation have given me confidence in tackling data-driven challenges.
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Reviewer Profile
Pruthvi Raj Chauhan linkedin icon

5.0

★★★★ ★
Country Flag India
“Engaging and Insightful Learning Experience”
I appreciated the clear breakdown of each topic, making it approachable and engaging. The content was well-organized and interactive, providing both theory and practical examples, which made the learning experience truly immersive and rewarding. I left with a stronger grasp of the subject and felt motivated to apply my new knowledge.
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John Russel Apolinar linkedin icon

5.0

★★★★ ★
Country Flag Philippines
“Gained Practical Insights into Various Analytics Types and Tools”
I really appreciated how the course covered both theoretical concepts and practical applications of analytics. The breakdown of different types of analytics—descriptive, diagnostic, and prescriptive—was very clear. I enjoyed the real-world examples that helped make complex concepts easier to understand. Additionally, the hands-on exercises gave me a deeper understanding of how to analyze data effectively, enhancing my ability to make informed decisions based on data insights.
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Reviewer Profile
Divya khot linkedin icon

5.0

★★★★ ★
Country Flag India
“The Interactive Learning Approach, Including Case Studies, Quizzes, and Peer Discussions”
The interactive learning approach, which included case studies, quizzes, and peer discussions, added a lot of value to the course. Additionally, the support from the mentor was exceptional; they provided timely feedback and guidance that helped me progress and refine my skills. The learning platform itself was user-friendly and well-equipped, with resources and tools that made studying enjoyable. Overall, this course significantly boosted my confidence in working with data and has equipped me with the skills necessary to pursue a career in data science and analytics.
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Archana chowdary Chintapalli linkedin icon

5.0

★★★★ ★
Country Flag India
“Reflecting on My Journey Through Introduction to Analytics”
I thoroughly enjoyed the course and found it highly insightful. The structure was well-organized, the content engaging, and the examples relevant to real-world analytics scenarios. Overall, it was an excellent introduction to the world of analytics!
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Reviewer Profile
Naznin Jafri linkedin icon

5.0

★★★★ ★
Country Flag India
“Insightful and Engaging Learning Experience”
I enjoyed the interactive approach and the real-world applications discussed during the sessions. The instructors were knowledgeable and always ready to clarify doubts. The assignments were challenging yet rewarding, helping me understand the nuances of data analytics in depth. Overall, it was an enriching experience that enhanced my analytical skills.
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Meet your faculty

Meet industry experts who will teach you relevant skills in artificial intelligence

instructor img

Mr. Rounak Dholakia

Academic Operations Head (PGP DSBA)
He currently heads the academic operations for PGP DSBA. Mr Rounak is a seasoned analytics practitioner with 10+ years of experience in providing analytical solutions to Fortune 500 clients across different industry vertical – banking, retail, CPG and pharmacy retail.
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Mr. Bharani Akella

Data Scientist
Bharani has been working in the field of data science for the last 2 years. He has expertise in languages such as Python, R and Java. He also has expertise in the field of deep learning and has worked with deep learning frameworks such as Keras and TensorFlow. He has been in the technical content side from last 2 years and has taught numerous classes with respect to data science.
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Mr. Udit Mehrotra

Data Scientist, Stripe
  • ◆
    10+ years of experience in data science
  • ◆
    Former Data Scientist at Mc.Kinsey & Company, Dell
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Mr. Vishal Padghan

Vishal has 3+ years of experience in the field of Data Science, Digital Marketing and Cloud Computing. He has expertise in Cloud platforms Like AWS, Azure and has exposure to Paid Marketing, Organic Marketing and Content. He has been in the Digital space from the last 3 years and also, he has been involved in teaching numerous classes for Digital Marketing and Cloud Computing
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Mr. Vishal Padghan

Vishal has 3+ years of experience in the field of Data Science, Digital Marketing and Cloud Computing. He has expertise in Cloud platforms Like AWS, Azure and has exposure to Paid Marketing, Organic Marketing and Content. He has been in the Digital space from the last 3 years and also, he has been involved in teaching numerous classes for Digital Marketing and Cloud Computing
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Dr. Abhinanda Sarkar

Senior Faculty & Director Academics, Great Learning
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    30+ years of experience in data science, ML, and analytics.
  • ◆
    Ph.D. from Stanford, taught at MIT, ISI, and IIM Bangalore.
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Dr. Abhinanda Sarkar

Senior Faculty & Director Academics, Great Learning
  • ◆
    30+ years of experience in data science, ML, and analytics.
  • ◆
    Ph.D. from Stanford, taught at MIT, ISI, and IIM Bangalore.
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Denver Dias

Senior Data Science Consultant
  • ◆
    Holds 8+ yrs exp. & delivered AI solutions for Fortune 500 firms
  • ◆
    Expert in A/B testing, ML models, and predictive analytics
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Mr. Bharani Akella

Data Scientist
Bharani has been working in the field of data science for the last 2 years. He has expertise in languages such as Python, R and Java. He also has expertise in the field of deep learning and has worked with deep learning frameworks such as Keras and TensorFlow. He has been in the technical content side from last 2 years and has taught numerous classes with respect to data science.
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Frequently Asked Questions

What certification will I receive from these Data Analytics courses?

These Data Analytics courses provides a certificate of completion, not a professional certification.

How can I learn Data Analytics courses for free?

Great Learning offers free Data Analytics courses, which address basic to advanced concepts. Enroll in the course that suits your interest through the pool of courses and earn Data Analytics certificates of course completion.
 

Can I learn Data Analytics on my own?

With the support of online learning platforms, it is now possible to learn concepts on your own. Great Learning Academy is a platform that provides free Data Analytics courses where learners can learn at their own pace.  
 

How long does it take to complete these Data Analytics courses?

These free Data Analytics courses offered by Great Learning Academy contain self-paced videos allowing learners to learn crucial Data Analytics skills at their convenience.
 

Will I have lifetime access to these Data Analytics courses with certificates?

Yes. You will have lifelong access to these free Data Analytics courses Great Learning Academy offers.
 

What are my next learning options after these Data Analytics courses?

You can enroll in Great Learning's Data Science and Business Analytics Program by the University of Texas at Austin’s McCombs School of Business, which will help you gain advanced data analytics skills in demand in industries. Complete the course to earn a certificate of course completion.

 

Is data analytics a good career choice?

Data analytics is a rapidly growing field with a high demand for skilled professionals. Jobs in data analytics are well-paying and offer opportunities for career advancement. If you enjoy working with data and solving problems, then data analytics could be a great career choice for you.

Why is Data Analytics so popular?

Data analytics is becoming increasingly popular because businesses can now collect, analyze, and act on large amounts of data to gain insights into customer behavior, trends, and patterns. With the ability to better understand customer behavior, businesses can make data-driven decisions to optimize processes, improve efficiency, and increase profitability. Additionally, data analytics allows businesses to identify key growth areas and focus resources on areas that need improvement.
 

Will I get certificates after completing these free Data Analytics courses?

You will be awarded free Data Analytics certificates after completion of your enrolled Data Analytics free courses.
 

What knowledge and skills will I gain upon completing these free Data Analytics courses?

Through these free Data Analytics courses, you will learn about multivariate analysis, outlier detection, predictive analytics, data analysis using Python, and more.
 

How much do these Data Analytics courses cost?

These Data Analytics courses are provided by Great Learning Academy for free, allowing any learner to learn Data Analytics and gain crucial skills for free.
 

Who are eligible to take these free Data Analytics courses?

Learners, from freshers to working professionals who wish to learn Data Analytics and upskill, can enroll in these free Data Analytics courses and earn certificates of course completion.
 

What are the steps to enroll in these free Data Analytics courses?

Choose the free Data Analytics courses you are looking for and click on the "Enroll Now" button to start your Data Analytics learning journey.
 

Why take Data Analytics courses from Great Learning Academy?

Great Learning Academy is the proactive initiative by Great Learning, the leading e-Learning platform, to offer free industry-relevant courses. Free Data Analytics courses contain courses ranging from beginner-level to advanced-level to help learners choose the best fit for them.
 

What jobs demand you learn Data Analytics?

There are several jobs that require you to learn Data Analytics, including:

  • Business Analyst
  • Data Scientist
  • Data Engineer
  • Data Architect
  • Database Administrator
     

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