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Free Programming for Data Science Courses

img icon BASICS
Introduction to Data Science
star   4.5 73.3K+ learners 1 hr

Skills: Fundamentals of DataScience, Basics of Data Preprocessing techniques, Statistical Distributions,A/B Testing, Time series analysis, Fundamentals of Big Data, Database, Tables, Relationships,Relational Database Management System, Non- relational Databases

img icon BASICS
Python for Data Science
star   4.43 120.4K+ learners 2 hrs

Skills: Data Analytics, Problem-solving, Insights, Predictive Modeling, Business Intelligence, Data Science Process, Data Preprocessing Techniques,Data Science Components ,Career Trajectory, Programming Basics,Data Handling using Python,Numpy and Pandas

img icon BASICS
R for Data Science
star   4.54 15.4K+ learners 2 hrs

Skills: Basics of R, Data structures in R, Data Manipulation in R, Data Visualisation in R

img icon BASICS
Excel for Data Science for Beginners
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star   4.49 20.6K+ learners 1.5 hrs

Skills: Date and Time,Aggregation,Lookups,Pivot Tables,Errors in Excel

img icon BASICS
SQL for Data Science
star   4.51 187.9K+ 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

img icon BASICS
Exploratory Data Analysis Essentials
star   4.51 103.5K+ learners 1.5 hrs

Skills: Exploratory data analysis, summary statistics, data cleaning, visualization (histograms, boxplots, scatter), handling missing values

img icon BASICS
Intro to Exploratory Data Analysis with Excel
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star   4.59 16.6K+ learners 1.5 hrs

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

img icon BASICS
Foundations of Data Visualization using Tableau
star   4.52 6.1K+ learners 2 hrs

Skills: Visual Analytics Basics, Importing Data into Tableau, Bar Chart, Line Chart, Histogram

img icon BASICS
Data Visualization using Tableau
star   4.52 116.7K+ 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.

img icon BASICS
Data Visualization With Power BI
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star   4.52 393.2K+ learners 1.5 hrs

Skills: Power BI usage, Data Loading, Creating Reports, Dashboards, Slicers & Filters, Visual Interactivity

free icon BASICS
Introduction to Data Science
star   4.5 73.3K+ learners 1 hr

Skills: Fundamentals of DataScience, Basics of Data Preprocessing techniques, Statistical Distributions,A/B Testing, Time series analysis, Fundamentals of Big Data, Database, Tables, Relationships,Relational Database Management System, Non- relational Databases

free icon BASICS
Python for Data Science
star   4.43 120.4K+ learners 2 hrs

Skills: Data Analytics, Problem-solving, Insights, Predictive Modeling, Business Intelligence, Data Science Process, Data Preprocessing Techniques,Data Science Components ,Career Trajectory, Programming Basics,Data Handling using Python,Numpy and Pandas

free icon BASICS
R for Data Science
star   4.54 15.4K+ learners 2 hrs

Skills: Basics of R, Data structures in R, Data Manipulation in R, Data Visualisation in R

free icon BASICS
Excel for Data Science for Beginners
star   4.49 20.6K+ learners 1.5 hrs

Skills: Date and Time,Aggregation,Lookups,Pivot Tables,Errors in Excel

free icon BASICS
SQL for Data Science
star   4.51 187.9K+ 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

free icon BASICS
Exploratory Data Analysis Essentials
star   4.51 103.5K+ learners 1.5 hrs

Skills: Exploratory data analysis, summary statistics, data cleaning, visualization (histograms, boxplots, scatter), handling missing values

free icon BASICS
Intro to Exploratory Data Analysis with Excel
star   4.59 16.6K+ learners 1.5 hrs

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

free icon BASICS
Foundations of Data Visualization using Tableau

Skills: Visual Analytics Basics, Importing Data into Tableau, Bar Chart, Line Chart, Histogram

free icon BASICS
Data Visualization using Tableau
star   4.52 116.7K+ 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.

free icon BASICS
Data Visualization With Power BI
star   4.52 393.2K+ learners 1.5 hrs

Skills: Power BI usage, Data Loading, Creating Reports, Dashboards, Slicers & Filters, Visual Interactivity

Get started with these courses

img icon BASICS
Foundations of Data Visualization using Tableau
star   4.52 6.1K+ learners 2 hrs

Skills: Visual Analytics Basics, Importing Data into Tableau, Bar Chart, Line Chart, Histogram

img icon BASICS
R for Data Science
star   4.54 15.4K+ learners 2 hrs

Skills: Basics of R, Data structures in R, Data Manipulation in R, Data Visualisation in R

img icon BASICS
Data Visualization With Power BI
partner logo
star   4.52 393.2K+ learners 1.5 hrs

Skills: Power BI usage, Data Loading, Creating Reports, Dashboards, Slicers & Filters, Visual Interactivity

img icon BASICS
SQL for Data Science
star   4.51 187.9K+ 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

img icon BASICS
Python for Data Science
star   4.43 120.4K+ learners 2 hrs

Skills: Data Analytics, Problem-solving, Insights, Predictive Modeling, Business Intelligence, Data Science Process, Data Preprocessing Techniques,Data Science Components ,Career Trajectory, Programming Basics,Data Handling using Python,Numpy and Pandas

img icon BASICS
Data Visualization using Tableau
star   4.52 116.7K+ 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.

img icon BASICS
Exploratory Data Analysis Essentials
star   4.51 103.5K+ learners 1.5 hrs

Skills: Exploratory data analysis, summary statistics, data cleaning, visualization (histograms, boxplots, scatter), handling missing values

img icon BASICS
Introduction to Data Science
star   4.5 73.3K+ learners 1 hr

Skills: Fundamentals of DataScience, Basics of Data Preprocessing techniques, Statistical Distributions,A/B Testing, Time series analysis, Fundamentals of Big Data, Database, Tables, Relationships,Relational Database Management System, Non- relational Databases

img icon BASICS
Excel for Data Science for Beginners
partner logo
star   4.49 20.6K+ learners 1.5 hrs

Skills: Date and Time,Aggregation,Lookups,Pivot Tables,Errors in Excel

img icon BASICS
Intro to Exploratory Data Analysis with Excel
partner logo
star   4.59 16.6K+ learners 1.5 hrs

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

New

img icon BASICS
Foundations of Data Visualization using Tableau
star   4.52 6.1K+ learners 2 hrs

Skills: Visual Analytics Basics, Importing Data into Tableau, Bar Chart, Line Chart, Histogram

img icon BASICS
R for Data Science
star   4.54 15.4K+ learners 2 hrs

Skills: Basics of R, Data structures in R, Data Manipulation in R, Data Visualisation in R

Popular

img icon BASICS
Data Visualization With Power BI
partner logo
star   4.52 393.2K+ learners 1.5 hrs

Skills: Power BI usage, Data Loading, Creating Reports, Dashboards, Slicers & Filters, Visual Interactivity

img icon BASICS
SQL for Data Science
star   4.51 187.9K+ 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

img icon BASICS
Python for Data Science
star   4.43 120.4K+ learners 2 hrs

Skills: Data Analytics, Problem-solving, Insights, Predictive Modeling, Business Intelligence, Data Science Process, Data Preprocessing Techniques,Data Science Components ,Career Trajectory, Programming Basics,Data Handling using Python,Numpy and Pandas

img icon BASICS
Data Visualization using Tableau
star   4.52 116.7K+ 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.

img icon BASICS
Exploratory Data Analysis Essentials
star   4.51 103.5K+ learners 1.5 hrs

Skills: Exploratory data analysis, summary statistics, data cleaning, visualization (histograms, boxplots, scatter), handling missing values

img icon BASICS
Introduction to Data Science
star   4.5 73.3K+ learners 1 hr

Skills: Fundamentals of DataScience, Basics of Data Preprocessing techniques, Statistical Distributions,A/B Testing, Time series analysis, Fundamentals of Big Data, Database, Tables, Relationships,Relational Database Management System, Non- relational Databases

img icon BASICS
Excel for Data Science for Beginners
partner logo
star   4.49 20.6K+ learners 1.5 hrs

Skills: Date and Time,Aggregation,Lookups,Pivot Tables,Errors in Excel

img icon BASICS
Intro to Exploratory Data Analysis with Excel
partner logo
star   4.59 16.6K+ learners 1.5 hrs

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

Learner reviews of the Free Programming for Data Science Courses

Our learners share their experiences of our courses

4.51
69%
23%
6%
1%
2%
Reviewer Profile

5.0

Country Flag India
“Data Science: A Transformative Field Combining Statistics, Computer Science, and Domain Expertise”
Data science has emerged as a transformative field that combines statistics, computer science, and domain expertise to extract meaningful insights from data. It empowers organizations to make data-driven decisions, optimize processes, and innovate products and services. The use of advanced analytical techniques, such as machine learning and artificial intelligence, allows for the analysis of large datasets, revealing trends and patterns that were previously hidden. One of the standout aspects of data science is its versatility; it applies to various industries.
Reviewer Profile

5.0

Country Flag India
“Data Science: Extracting Insights and Developing Strategies for Businesses”
Data science is the field of study that uses data to extract insights and develop strategies for businesses and industries. It is a multidisciplinary field that combines principles and practices from mathematics, statistics, business, artificial intelligence, and computer engineering to analyze large amounts of data. Data scientists use data analytics and advanced analytics to find patterns, create predictive models, and develop insights that guide business decision-making.
Reviewer Profile

5.0

Country Flag Nigeria
“A Wonderful Learning Experience in Data Analysis”
I really love the way the course outline was arranged; the curriculum is well-structured. It provides an opportunity for someone who doesn't have an idea about data science to at least understand what it looks like and follow up easily. Not to mention the quizzes and assignments, which make it very interesting.
Reviewer Profile

5.0

“Building a Strong Data Science Foundation: Key Concepts, Tools, and Techniques”
Data science is the interdisciplinary field that combines statistics, mathematics, programming, and domain expertise to extract insights from data. It forms the foundation for analyzing large datasets, building predictive models, and making data-driven decisions. Key elements include data collection, cleaning, visualization, and machine learning algorithms.
Reviewer Profile

5.0

“Comprehensive Data Science Foundation Course with Hands-On Projects”
Great Learning's Data Science Foundation course covers Python, statistics, machine learning, data wrangling, and data visualization. It offers hands-on projects for practical experience, providing a solid foundation in essential data science concepts, and equipping learners with the skills needed to apply data science techniques in real-world scenarios.
Reviewer Profile

5.0

“Feedback on Introduction to Data Science Course”
I recently completed the "Introduction to Data Science" course and found it very insightful. The content was well-structured, and the practical examples were helpful. However, I suggest adding more hands-on exercises and real-world case studies for better understanding. Overall, a great starting point for anyone new to data science!
Reviewer Profile

5.0

Country Flag Singapore
“Introduction to Data Science Course”
Data Science provides a comprehensive foundation on key concepts like data analysis, visualization, and machine learning, making it ideal for beginners. The hands-on approach and real-world applications were highly effective in building practical skills.
Reviewer Profile

5.0

Country Flag India
“Focus on Practical Learning”
The instructors were knowledgeable and presented the material in a clear, engaging manner. The course materials were comprehensive, including slides, reading materials, and supplementary videos. One of the highlights of the course was the hands-on projects. These projects allowed me to apply the concepts I learned to real-world problems, such as building predictive models, working with large datasets, and fine-tuning algorithms for better performance. These practical experiences were crucial in solidifying my understanding of the concepts.
Reviewer Profile

4.0

“Learning New Things About Data Science”
Learning data science equips you with the skills to analyze and interpret large datasets, uncovering valuable insights to drive decision-making. It combines programming, statistics, and domain knowledge, making it a versatile field with applications in nearly every industry. Data science is in high demand, offering excellent career prospects and opportunities to work on impactful projects. Additionally, it fosters critical thinking and problem-solving, enabling you to tackle complex challenges with data-driven solutions.
Reviewer Profile

5.0

Country Flag India
“A Good Learning Experience in Data Science”
It was a good course, and I was able to learn a lot from this course. The teachers were also helpful. Thanks.

Meet your faculty

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

instructor img

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.
instructor img

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.
instructor img

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
instructor img

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
instructor img

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
instructor img

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