Curious about how to turn data into insights and decisions without spending a dime?
Discover the best websites to learn Data Analytics for free, where you can dive into the world of data analysis and learn to extract meaningful information from complex datasets.
10 Best Websites for Data Analytics – Overview
Here’s an overview of the top 10 websites to learn Data Analytics:
| S.No. | Website Name | Course Duration | Pricing | Certification | Website Link |
|---|---|---|---|---|---|
| 1 | GUVI | 3 or 5 months | Paid | Yes | Visit Now |
| 2 | Coursera | 6 months | Freemium | Yes | Visit Now |
| 3 | edX | Self-paced | Freemium | Yes | Visit Now |
| 4 | DataCamp | 36 hours | Paid | Yes | Visit Now |
| 5 | Dataquest | Self-paced | Freemium | Yes | Visit Now |
| 6 | Kaggle | Self-paced | Free | No | Visit Now |
| 7 | IBM | 4 months | Freemium | Yes | Visit Now |
| 8 | Udemy | Self-paced | Paid | Yes | Visit Now |
| 9 | Microsoft | 3 days | Freemium | Yes | Visit Now |
| 10 | FreeCodeCamp | Self-paced | Free | Yes | Visit Now |
Best Websites to Learn Data Analytics for Beginners
Below is the list of best websites to learn Data Analytics for beginners:
1. GUVI
The Data Science course offered by GUVI, in association with IIT Digital Skills Academy, is designed to transform learners into proficient data science professionals. The course provides hands-on experience with real-time projects, ensuring learners build practical skills alongside theoretical knowledge.
Course Diversity: It includes modules on computational thinking, Python, MySQL, Tableau, Power BI, NLP, machine learning, and data visualization. The course is designed to offer a rounded understanding of data science fundamentals, tools, and applications.
Pricing: INR 89,999, EMI options for up to 12 months are available.
Certifications: 6 industry-recognized certifications
Language Options: English, Hindi, and தமிழ் (Tamil)
Course Duration: 3 months for weekday batches and 5 months for weekend batches.
2. Coursera
The Google Data Analytics Professional Certificate program on Coursera is designed for individuals seeking a career in data analytics. This program provides immersive training in the practices and processes employed by junior or associate data analysts.
Course Diversity: The program covers a wide range of skills and tools relevant to data analytics, including data cleaning, analysis, visualization, spreadsheets, SQL, R programming, and Tableau. It provides comprehensive knowledge in data cleansing, creating case studies, metadata, data aggregation, and calculations.
It also delves into data ethics, making it a well-rounded program for aspiring data analysts.
Pricing: Free to Enroll
Certifications: Shareable professional certificate from Google
Language Options: English
Course Duration: 6 months to complete at a pace of approximately 10 hours per week
3. edX
The ‘Data Analytics Basics for Everyone’ course, offered by IBM on edX, is aimed at introducing learners to the fundamentals of Data Analytics.
It provides a comprehensive understanding of the data ecosystem, data analytics processes and lifecycle, and various career opportunities in the field.
Course Diversity: This course covers various crucial aspects of data analytics, including data structures, file formats, sources of data, data repositories, Big Data, ETL processes, and specific languages used in data analytics. It also introduces the tools and processes for data gathering, wrangling, mining, analysis, and visualization.
Pricing: Free, optional upgrade available
Certifications: Skill badge from IBM, a verifiable and digital credential.
Language Options: English, with video transcripts available in multiple languages, including Arabic, German, Spanish, French, Hindi, Indonesian, Portuguese, Swahili, Telugu, Turkish, and Chinese.
Course Duration: Self-paced
4. DataCamp
The ‘Data Analyst with Python’ track on DataCamp is an educational program designed for those beginning their journey to becoming a data analyst using Python, one of the most popular programming languages.
This track requires no prior coding experience and guides learners through importing, cleaning, manipulating, and visualizing data, which are integral skills for any data professional or researcher.
Course Diversity: The track covers a range of subjects necessary for data analysis in Python, including the basics of data analysis, intermediate Python skills, data manipulation with pandas, and data visualization with tools like Matplotlib and Seaborn.
Pricing: Free
Certifications: Statement of Accomplishment
Language Options: English
Course Duration: 36 hours
5. Dataquest
The Data Analyst path on Dataquest is designed to provide a comprehensive learning experience in Python for data analysis. The path is suitable for learners of all skill levels, including beginners, and covers Python programming, SQL querying, data visualization, and statistical analysis.
The hands-on approach encourages learners to write code and receive feedback directly in the browser, applying skills to guided projects with realistic business scenarios.
Course Diversity: This path includes an extensive range of topics, from basic Python operations and data structures to intermediate Python and Pandas, data cleaning, command-line usage for data science, working with data sources using SQL, web scraping, and APIs.
It also covers probability and statistics, providing a well-rounded curriculum for aspiring data analysts.
Pricing: Free
Certifications: Statement of accomplishment
Language Options: English
Course Duration: Self-paced
6. Kaggle
Kaggle offers a variety of practical data science courses, focusing on delivering skills that can be immediately applied. Their approach is to distill complex topics into key practical components, making learning fast and efficient.
Course Diversity: Kaggle’s courses cover several key areas including Python programming, machine learning, data visualization, SQL, deep learning, and more.
Some specific courses are Intro to Programming (Python for beginners), Pandas (Data manipulation skills), Intermediate Machine Learning (Advanced techniques), Data Visualization, Feature Engineering, Geospatial Analysis
Pricing: Free
Certifications: Certificate of completion
Language Options: English
Course Duration: Self-paced
7. IBM
The “Data Analyst Professional Certificate” by IBM Training is designed for individuals aiming to develop proficiency in data analysis. It equips learners with the skills necessary for an entry-level role in data analytics.
The program includes practical experience with a range of data analysis tools, including Excel, SQL, Python, JupyterLab, and Cognos Analytics.
Course Diversity: The certificate encompasses 8 courses, covering various aspects of data analytics. These courses focus on different analytical techniques, creating visualizations and interactive dashboards, and presenting reports to share findings from data analysis.
Pricing: Free to Enroll
Certifications: Earn degree credit
Language Options: English, and 22 languages available
Course Duration: 4 months at 10 hours a week
