Free Data Analytics Courses Online With Certificates (2026)

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Great Learning Academy's free data analytics courses cover key tools and skills like Python, Excel, SQL, Tableau, R and Power BI. Learn data analysis, visualization, machine learning, and more through hands-on projects. Build essential skills to analyze data, identify trends, and communicate insights effectively.

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UNIVERSITY

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

UNIVERSITY

MIT Professional Education

Applied AI and Data Science Program

14 Weeks • Live Online

PRO

2 projects

Master Data Analytics in Excel

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PRO

1 project

Web and Digital Analytics Essentials

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BASICS

4.51 88.7K+ learners 2 hrs

Introduction to Analytics

Skills: Spectrum of Analytics, Descriptive Analytics

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BASICS

4.56 8.3K+ learners 2.5 hrs

Applications of Analytics

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

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BASICS

4.5 78.8K+ 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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BASICS

4.56 34.6K+ 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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BASICS

4.51 177.1K+ 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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BASICS

4.52 115.3K+ 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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BASICS

4.52 365.7K+ 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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BASICS

4.46 76.8K+ learners 1 hr

Introduction to Machine Learning

Skills: Learn the fundamentals of machine learning, including supervised and unsupervised learning, regression, and recommendation systems. Join this free machine learning course to apply these skills in real-world business scenarios.

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BASICS

Supervised Machine Learning with Logistic Regression and Naïve Bayes

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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BASICS

Probability and Probability Distributions for Machine Learning

4.49 20.6K+ 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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BASICS

4.47 18.9K+ learners 1 hr

Excel Regression Analysis

Skills: Hands on knowledge of Regression Analysis using Excel

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BASICS

Intro to Exploratory Data Analysis with Excel

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

View Course

BASICS

Introduction to Analytics

4.51 88.7K+ learners 2 hrs

Skills: Spectrum of Analytics, Descriptive Analytics

BASICS

Applications of Analytics

4.56 8.3K+ learners 2.5 hrs

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

BASICS

Python for Data Analysis

4.5 78.8K+ learners 2 hrs

BASICS

Introduction to Database and SQL

4.56 34.6K+ learners 1.5 hrs

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

BASICS

SQL for Data Science

4.51 177.1K+ 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

BASICS

Data Visualization using Tableau

4.52 115.3K+ learners 2 hrs

BASICS

Data Visualization With Power BI

4.52 365.7K+ learners 1.5 hrs

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

BASICS

Introduction to Machine Learning

4.46 76.8K+ learners 1 hr

BASICS

Supervised Machine Learning with Logistic Regression and Naïve Bayes

4.43 21.7K+ learners 2 hrs

Skills: Scikit Learn Library,Logistic Regression, Naïve Bayes

BASICS

Probability and Probability Distributions for Machine Learning

4.49 20.6K+ learners 1.5 hrs

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

BASICS

Excel Regression Analysis

4.47 18.9K+ learners 1 hr

Skills: Hands on knowledge of Regression Analysis using Excel

BASICS

Intro to Exploratory Data Analysis with Excel

4.59 16.3K+ learners 1.5 hrs

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

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BASICS

NEW

4.55 4.6K+ learners 2 hrs

Introduction to Power BI Analyst

Skills: Data Analysis, Data Visualization, Power BI, Data Modeling, Data Cleaning, Business Intelligence, Stakeholder Communication, Dashboard Design, KPI Tracking, Analytical Thinking, Problem Solving, Continuous Learning, Project Management

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BASICS

773 learners 1.5 hrs

IoT Data Analytics

Skills: IoT, Analytics, Descriptive Analytics, Predictive Analytics, Diagnostic Analytics, Time Series Data, Applications of IoT Analytics, Architecture, Libraries and Tools, Frameworks for IoT Analytics

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BASICS

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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BASICS

4.44 1.9K+ learners 1.5 hrs

Outlier Detection

Skills: Outlier Detection, Handling missing values and outliers, Data Visualization

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BASICS

4.56 8.3K+ learners 2.5 hrs

Applications of Analytics

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

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BASICS

4.47 18.9K+ learners 1 hr

Excel Regression Analysis

Skills: Hands on knowledge of Regression Analysis using Excel

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BASICS

4.56 4.8K+ learners 1 hr

Inferential Statistics

Skills: Data Collection, Statistical Analysis, Probability, Central Limit Theorem, Hypothesis Testing, Chi-Square Test, ANOVA

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BASICS

4.52 2.1K+ learners 1 hr

Hierarchical Clustering

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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BASICS

Supervised Machine Learning with Tree Based Models

4.56 9.8K+ learners 2 hrs

Supervised Machine Learning with Tree Based Models

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

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BASICS

4.55 12.7K+ learners 2 hrs

Basics of EDA with Python

Skills: Practical visualization walkthrough, IPL data analysis with Python

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BASICS

4.5 9.7K+ learners 2 hrs

Hypothesis Testing

Skills: Hypothesis Testing, T-test

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BASICS

4.5 2.3K+ learners 1 hr

Multiple Variate Analysis

Skills: Introduction to Data Analysis, Understanding Multivariate Analysis, Various MVA Techniques, Advantages of MVA, Demonstration in Python,

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BASICS

4.49 20.6K+ learners 1.5 hrs

Probability and Probability Distributions for Machine Learning

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

View Course

BASICS

Multivariate Time Series Forecasting in R

4.49 4.9K+ learners 1.5 hrs

Multivariate Time Series Forecasting in R

Skills: Time Series Forecasting, Time Series Demo

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BASICS

Time Series Analysis Stock Market Prediction Python

4.47 15.1K+ learners 1.5 hrs

Time Series Analysis Stock Market Prediction Python

Skills: Exponential Smoothing, ARIMA, Time Series in R

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BASICS

4.46 10.2K+ learners 1 hr

Introduction to Descriptive Statistics

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

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BASICS

4.52 365.7K+ learners 1.5 hrs

Data Visualization With Power BI

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

View Course

BASICS

4.51 177.1K+ 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

View Course

BASICS

4.52 115.3K+ learners 2 hrs

Data Visualization using Tableau

View Course

BASICS

4.51 88.7K+ learners 2 hrs

Introduction to Analytics

Skills: Spectrum of Analytics, Descriptive Analytics

View Course

BASICS

4.5 78.8K+ learners 2 hrs

Python for Data Analysis

View Course

BASICS

4.46 76.8K+ learners 1 hr

Introduction to Machine Learning

View Course

BASICS

4.56 34.6K+ 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

View Course

BASICS

4.43 21.7K+ learners 2 hrs

Supervised Machine Learning with Logistic Regression and Naïve Bayes

Skills: Scikit Learn Library,Logistic Regression, Naïve Bayes

View Course

New

BASICS

NEW

4.55 4.6K+ learners 2 hrs

Introduction to Power BI Analyst

View Course

BASICS

773 learners 1.5 hrs

IoT Data Analytics

View Course

BASICS

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

View Course

BASICS

4.44 1.9K+ learners 1.5 hrs

Outlier Detection

Skills: Outlier Detection, Handling missing values and outliers, Data Visualization

View Course

BASICS

4.56 8.3K+ learners 2.5 hrs

Applications of Analytics

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

View Course

BASICS

4.47 18.9K+ learners 1 hr

Excel Regression Analysis

Skills: Hands on knowledge of Regression Analysis using Excel

View Course

BASICS

4.56 4.8K+ learners 1 hr

Inferential Statistics

Skills: Data Collection, Statistical Analysis, Probability, Central Limit Theorem, Hypothesis Testing, Chi-Square Test, ANOVA

View Course

BASICS

4.52 2.1K+ learners 1 hr

Hierarchical Clustering

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Trending

BASICS

4.56 9.8K+ learners 2 hrs

Supervised Machine Learning with Tree Based Models

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

View Course

BASICS

4.55 12.7K+ learners 2 hrs

Basics of EDA with Python

Skills: Practical visualization walkthrough, IPL data analysis with Python

View Course

BASICS

4.5 9.7K+ learners 2 hrs

Hypothesis Testing

Skills: Hypothesis Testing, T-test

View Course

BASICS

4.5 2.3K+ learners 1 hr

Multiple Variate Analysis

Skills: Introduction to Data Analysis, Understanding Multivariate Analysis, Various MVA Techniques, Advantages of MVA, Demonstration in Python,

View Course

BASICS

4.49 20.6K+ learners 1.5 hrs

Probability and Probability Distributions for Machine Learning

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

View Course

BASICS

4.49 4.9K+ learners 1.5 hrs

Multivariate Time Series Forecasting in R

Skills: Time Series Forecasting, Time Series Demo

View Course

BASICS

4.47 15.1K+ learners 1.5 hrs

Time Series Analysis Stock Market Prediction Python

Skills: Exponential Smoothing, ARIMA, Time Series in R

View Course

BASICS

4.46 10.2K+ learners 1 hr

Introduction to Descriptive Statistics

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

View Course

Popular

BASICS

4.52 365.7K+ learners 1.5 hrs

Data Visualization With Power BI

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

View Course

BASICS

4.51 177.1K+ 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

View Course

BASICS

4.52 115.3K+ learners 2 hrs

Data Visualization using Tableau

View Course

BASICS

4.51 88.7K+ learners 2 hrs

Introduction to Analytics

Skills: Spectrum of Analytics, Descriptive Analytics

View Course

BASICS

4.5 78.8K+ learners 2 hrs

Python for Data Analysis

View Course

BASICS

4.46 76.8K+ learners 1 hr

Introduction to Machine Learning

View Course

BASICS

4.56 34.6K+ 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

View Course

BASICS

4.43 21.7K+ learners 2 hrs

Supervised Machine Learning with Logistic Regression and Naïve Bayes

Skills: Scikit Learn Library,Logistic Regression, Naïve Bayes

View Course

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Learner reviews of the Free Data Analytics Courses

Our learners share their experiences of our courses

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SACHIN KUMAR

4.0

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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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Limra Kazi

5.0

★★★★ ★

India

“An Excellent Resource for Understanding the Basics of Analytics”

I found the free Introduction to Analytics course to be incredibly insightful and well-organized. The instructors made complex concepts easy to understand. Overall, it was a great starting point for anyone interested in exploring the field of analytics.

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John Russel Apolinar

5.0

★★★★ ★

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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Divya khot

5.0

★★★★ ★

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

5.0

★★★★ ★

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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Naznin Jafri

5.0

★★★★ ★

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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Mohd Ahmed Waheed

5.0

★★★★ ★

India

“Data Science Applications: Healthcare, Finance, Marketing”

Highlights of learning experience: 1. Data Analysis: Exploring data visualization tools (Tableau, Power BI) and statistical techniques. 2. Machine Learning: Delving into predictive modeling, deep learning, and natural language processing. 3. Business Intelligence: Understanding data-driven decision-making and business strategy.

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Muhammad Shoaib Khan

5.0

★★★★ ★

Netherlands

“A Very Good Course with Much to Learn”

The way the instructor explained the difficult topics in such an easy way impressed me a lot.

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Devesh Kumar Yadav

5.0

★★★★ ★

India

“It Was a Good and Knowledgeable Experience”

It gave me a brief knowledge of analytics and a deep understanding of analytical terms and functionality.

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Ibrahim Rahman

5.0

★★★★ ★

United Kingdom

“Data Analytics and Data Science Course”

The content was helpful and helped me understand the basics of data science.

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Meet your faculty

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

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.

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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10+ years of experience in data science
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Former Data Scientist at Mc.Kinsey & Company, Dell

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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30+ years of experience in data science, ML, and analytics.
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Ph.D. from Stanford, taught at MIT, ISI, and IIM Bangalore.

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Holds 8+ yrs exp. & delivered AI solutions for Fortune 500 firms
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Expert in A/B testing, ML models, and predictive analytics

Frequently Asked Questions

What will I learn in these online free data analytics courses?

These best free data analytics courses cover a wide range of modules designed to provide a well-rounded learning experience:

Introduction to Analytics: Explore the spectrum of analytics and key techniques in descriptive analytics.
Data Visualization: Learn to create interactive reports and dashboards using tools like Tableau, Power BI, and Python.
SQL and Database Management: Gain expertise in SQL for Data Science, working with databases, subqueries, joins, and more.
Machine Learning: Learn supervised and unsupervised learning models, including Logistic Regression, Decision Trees, and K-means Clustering.
Time Series Analysis: Understand forecasting and prediction using time series data, focusing on stock market prediction and ARIMA models.
Statistical Analysis: Master statistical methods like linear regression, ANOVA, and inferential statistics.

These courses will equip you with the practical knowledge and tools to analyze data, build models, and present insights effectively, preparing you for roles in data analytics, business intelligence, and data science.

How will learning data analytics improve my ability to make data-driven decisions?

Our free online data analytics courses teach you essential data analysis techniques, including statistical analysis, data cleaning, and visualization. These skills will help you turn raw data into actionable insights, enabling you to make informed, evidence-based decisions in any field.

What are the prerequisites for these free data analytics courses?

These courses are designed to be accessible for beginners, with no prior data analytics experience required. Some courses may assume basic knowledge of Excel or Python, but there are beginner-level courses available to help you build the necessary foundation.

Are these online free data analytics courses suitable for beginners?

Yes. These free data analytics courses for beginners cover the basics of data analysis, Python programming, and essential tools like Excel and Tableau. They are designed to help you get started in data analytics, even if you have no prior experience.

What specific analytics skills will help me analyze complex datasets effectively?

Our free data analytics training courses covers essential skills such as data wrangling, data visualization, and statistical analysis. You'll learn to clean, prepare, and analyze data using tools like Python, Excel, and SQL, helping you break down complex datasets and extract meaningful insights.

How will these best free data analytics courses help me in my career?

Completing these top free data analytics courses will give you the practical skills needed to analyze large datasets, draw insights, and visualize data effectively. These are critical skills for any data analyst or data scientist role, helping you stand out to employers in a competitive job market.

Are there any hands-on projects included?

Yes. Each course includes practical exercises and real-world projects. You'll work on data analysis projects, create visualizations, and even build predictive models using real datasets.

How long do the free data analyst courses take to complete?

The online free data analytics courses vary in length, with most taking between 1.5 to 4 hours to complete. You can learn at your own pace, making it easy to fit these courses into your schedule.

Do I need any prior experience or tools to take these free data analytics training courses?

No prior experience is required to start most of these free data analytics training courses. Tools like Excel, Python, and SQL are commonly used, but no special software is needed to begin. If you need to install any tools, the course will guide you through the setup process.

What specific tools and technologies will I learn in these data analytics courses

The courses cover a wide range of essential tools and technologies, including:

Data manipulation and analysis: Python (Pandas, NumPy), SQL, Excel
Data visualization: Tableau, Power BI, Python (Matplotlib, Seaborn)
Machine learning: Supervised learning (Logistic Regression, Decision Trees) and Unsupervised learning (K-means Clustering)
Time series analysis: Techniques for forecasting trends using Python and ARIMA.

What if I want to focus on data visualization? Which course should I take?

You can choose from several focused courses:

Data Visualization using Tableau: Learn how to build interactive dashboards and visual reports.
Data Visualization with Power BI: Master creating reports and dashboards with Power BI.
Data Visualization with Python: Dive into visualization techniques using Python libraries like Matplotlib and Seaborn.

How will I learn to work with databases in these courses?

Courses like End-to-End MySQL and SQL for Data Science cover everything from basic SQL queries to advanced techniques like joins, subqueries, and integrating SQL with Python. You’ll gain the skills to extract and manipulate data from relational databases.

How do these courses help me learn advanced topics like machine learning and time series forecasting?

Courses like Supervised Machine Learning with Logistic Regression and Naïve Bayes, Time Series Analysis Stock Market Prediction, and Multivariate Time Series Forecasting in R give you hands-on experience with advanced analytics techniques, preparing you to tackle complex problems like prediction and classification in data.

Why take free Data Analyst 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 are the steps to enroll in these free data analytics training 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.

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.

How much do these free data analytics courses for beginners 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.

What knowledge and skills will I gain upon completing these online free data analytics courses ?

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

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

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