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Pro & University Programs

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Master Data Analytics in Excel
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2 projects
5.5 hrs video content
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McCombs School of Business at The University of Texas at Austin

7 months  • Online

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MIT Professional Education

14 Weeks  • Live Online

Free Data Analytics Courses

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Introduction to Analytics
star   4.51 75.2K+ learners
1 hr
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Applications of Analytics
star   4.56 7.4K+ learners
2.5 hrs
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Python for Data Analysis
star   4.5 71.7K+ learners
2 hrs
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Introduction to Database and SQL
star   4.55 31.8K+ learners
1.5 hrs
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SQL for Data Science
star   4.51 165.4K+ learners
3 hrs
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Data Visualization using Tableau
star   4.52 112.4K+ learners
2 hrs
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Data Visualization With Power BI
star   4.52 319.2K+ learners
1.5 hrs
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Probability and Probability Distributions for Machine Learning
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Introduction to Analytics
star   4.51 75.2K+ learners 1 hr
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Applications of Analytics
star   4.56 7.4K+ learners 2.5 hrs
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Python for Data Analysis
star   4.5 71.7K+ learners 2 hrs
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Introduction to Database and SQL
star   4.55 31.8K+ learners 1.5 hrs
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SQL for Data Science
star   4.51 165.4K+ learners 3 hrs
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Data Visualization using Tableau
star   4.52 112.4K+ learners 2 hrs
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Data Visualization With Power BI
star   4.52 319.2K+ learners 1.5 hrs
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Supervised Machine Learning with Logistic Regression and Naïve Bayes
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Probability and Probability Distributions for Machine Learning

Get started with these courses

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IoT Data Analytics
87 learners
1.5 hrs
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Intro to Exploratory Data Analysis with Excel
star   4.59 15.8K+ learners
1.5 hrs
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Introduction to Database and SQL
star   4.55 31.8K+ learners
1.5 hrs
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Outlier Detection
star   4.44 1.9K+ learners
1.5 hrs
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Applications of Analytics
star   4.56 7.4K+ learners
2.5 hrs
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Supervised Machine Learning with Tree Based Models
star   4.56 9.7K+ learners
2 hrs
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Inferential Statistics
star   4.56 4.6K+ learners
1 hr
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Basics of EDA with Python
star   4.55 12.5K+ learners
2 hrs
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Data Visualization With Power BI
star   4.52 319.2K+ learners
1.5 hrs
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SQL for Data Science
star   4.51 165.4K+ learners
3 hrs
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Data Visualization using Tableau
star   4.52 112.4K+ learners
2 hrs
img icon FREE
Introduction to Analytics
star   4.51 75.2K+ learners
1 hr

New

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IoT Data Analytics
87 learners
1.5 hrs
img icon FREE
Intro to Exploratory Data Analysis with Excel
star   4.59 15.8K+ learners
1.5 hrs
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Introduction to Database and SQL
star   4.55 31.8K+ learners
1.5 hrs
img icon FREE
Outlier Detection
star   4.44 1.9K+ learners
1.5 hrs

Trending

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Applications of Analytics
star   4.56 7.4K+ learners
2.5 hrs
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Supervised Machine Learning with Tree Based Models
star   4.56 9.7K+ learners
2 hrs
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Inferential Statistics
star   4.56 4.6K+ learners
1 hr
img icon FREE
Basics of EDA with Python
star   4.55 12.5K+ learners
2 hrs

Popular

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Data Visualization With Power BI
star   4.52 319.2K+ learners
1.5 hrs
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SQL for Data Science
star   4.51 165.4K+ learners
3 hrs
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Data Visualization using Tableau
star   4.52 112.4K+ learners
2 hrs
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Introduction to Analytics
star   4.51 75.2K+ learners
1 hr

Learner reviews of the Free Data Analytics Courses

Our learners share their experiences of our courses

4.51
69%
22%
6%
1%
2%
Reviewer Profile

5.0

“I have been searching for courses that give insight into data analytics because I'm trying to decide what career is best for me”
I found this platform after doing some research, and I can say that I will be taking more courses here to expand my knowledge. The course was easy to follow, and the instructor explained the concepts in the most basic form, which for me shows the depth of knowledge the instructor has. I'm happy I took the course and I look forward to more learning opportunities.

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Reviewer Profile

5.0

“Feedback about Data Analytics Course”
The Data Analytics course provided an excellent overview of key data analysis concepts and techniques. It was structured in a way that catered to both beginners and those with some experience, gradually building on concepts from the basics to more advanced analytics methods. The combination of theoretical lessons with practical case studies and hands-on exercises made the course engaging and highly valuable. Strengths: Comprehensive Curriculum: The course covered a wide range of topics, from data cleaning, analysis, and interpretation to more advanced statistical methods and machine learning basics. This ensured a well-rounded understanding of data analytics. Hands-On Approach: The use of real-world datasets for projects and exercises allowed for practical application of the concepts taught. This not only helped in solidifying the theoretical knowledge but also in developing problem-solving skills. Step-by-Step Progression: The course was structured in a way that each module built on the previous one, making the learning curve manageable for students at all levels. This progression made complex topics more digestible. Variety of Tools: The course introduced various tools commonly used in the industry, such as Python, Excel, SQL, and sometimes even visualization tools like Power BI or Tableau. This exposure to multiple tools made the learning experience versatile. Supportive Learning Environment: The availability of forums, group discussions, and instructor support added to the value of the course. The feedback on assignments was constructive and helpful in improving one’s skills.

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Reviewer Profile

5.0

“Easy to Follow Course Module”
The lessons were easy to follow, and the subject of data analytics was presented in a way I could understand.

LinkedIn Profile

“Comprehensive and Well-Structured Course”
I was able to actively follow and understand the course. The use of multimedia content made it easier to comprehend.

LinkedIn Profile

“The Best Learning Experience I Have Ever Had”
The way the materials were presented and the structure of the content were excellent.

LinkedIn Profile

Reviewer Profile

5.0

“It is a Wonderful Experience in the Analytics World”
The way the curriculum is designed is perfect. The instructor gives very clear explanations that make you understand the concepts better, which motivates the learner. The questions are well set to help understand all the learned concepts.

LinkedIn Profile

Reviewer Profile

5.0

“An Engaging and Well-Structured Learning Experience”
I thoroughly enjoyed the course as it offered a comprehensive and structured approach to analytics. The curriculum was well-designed, covering all essential topics in depth. The quizzes and assignments were challenging yet engaging, allowing me to test my understanding. The instructors explained complex concepts in a simplified manner, making the course easy to follow. Overall, it was an excellent experience that enhanced my analytical skills.

LinkedIn Profile

Reviewer Profile

5.0

“Engaging and Comprehensive Learning Experience”
I thoroughly enjoyed the course, especially the well-structured curriculum and in-depth topic coverage. The instructor was clear, and the quizzes and assignments reinforced my learning effectively. The combination of practical tools and theoretical knowledge made the content easy to follow and apply. Overall, a great learning journey!

LinkedIn Profile

Reviewer Profile

5.0

“Clear Understanding Between Data Analyst and Data Scientist”
It was easy to follow and understand. The descriptive videos really helped in better understanding.

LinkedIn Profile

Reviewer Profile

5.0

“Engaging Learning Experience is Good”
I found the curriculum to be well-structured and informative, covering the topic in depth. The instructor's explanations were clear and engaging, making the content easy to follow. I also appreciated the quizzes and assignments, which helped reinforce my understanding of the material.

LinkedIn Profile

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.

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)
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Mr. Bharani Akella

Data Scientist
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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

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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

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