Best Websites to Learn Data Analytics
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.
12 Best Websites for Data Analytics – Overview
Here’s an overview of the top 12 websites to learn Data Analytics:
| S.No. | Website Name | Pricing | Certification | Website Link |
|---|---|---|---|---|
| 1 | GUVI | Paid | Yes | Visit Now |
| 2 | Coursera | Freemium | Yes | Visit Now |
| 3 | edX | Freemium | Yes | Visit Now |
| 4 | DataCamp | Paid | Yes | Visit Now |
| 5 | Dataquest | Freemium | Yes | Visit Now |
| 6 | Kaggle | Free | No | Visit Now |
| 7 | IBM | Freemium | Yes | Visit Now |
| 8 | Udemy | Paid | Yes | Visit Now |
| 9 | Microsoft | Freemium | Yes | Visit Now |
| 10 | FreeCodeCamp | Free | Yes | Visit Now |
| 11 | upGrad | Paid | Yes | Visit Now |
| 12 | Crio.do | Paid | 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.
Users will gain hands-on experience and receive IIT-M Pravartak certification, preparing them for roles in top tech companies.
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 Structure: INR 94,999 with EMI options available
Certifications Offered: IIT-M Pravartak and 5 other industry-recognized certifications.
Language Options: English, Hindi, and தமிழ் (Tamil)
Community and Support: Includes one-on-one mentoring, Ask-Me-Anything sessions, and placement guidance.
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 Structure: Paid (with financial aid available)
Certifications Offered: Google Data Analytics Professional Certificate
Language Options: English (with subtitles in multiple languages)
Community and Support: Access to career resources, resume reviews, and job search guidance.
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 Structure: Free (with optional paid upgrade for a certificate)
Certifications Offered: Certificate upon completion and 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.
Community and Support: Access to edX support and course resources.
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 Structure: Paid (with a free trial available)
Certifications Offered: Data Analyst Certification
Language Options: English
Community and Support: Access to DataCamp’s community, AI assistant, and course resources.
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.
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 Structure: Paid (with a free trial available)
Certifications Offered: Certificate upon completion
Language Options: English
Community and Support: Access to interactive exercises, guided projects, and Dataquest’s learning community.
6. Kaggle
Kaggle Learn offers free, practical courses designed to equip users with essential data science skills such as Python, data visualization, machine learning, and SQL.
Users will learn through hands-on challenges and tutorials that simplify complex topics into key components, making learning fast and engaging
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 Structure: Free
Certifications Offered: Certificate upon completion
Language Options: English
Community and Support: Access to Kaggle’s community, discussion forums, and guided resources.
7. IBM
The “Data Analyst Professional Certificate” by IBM Training is designed for individuals aiming to develop proficiency in data analysis.
The program includes practical experience with a range of data analysis tools, including Excel, SQL, Python, JupyterLab, and Cognos Analytics.
Users will learn to use tools like Excel, SQL, Python, and IBM Cognos to analyze data, create visualizations, and present findings, preparing them for entry-level roles in data analytics.
Course Diversity: Covers Excel, SQL, Python, JupyterLab, data visualization, and IBM Cognos Analytics through 8 courses.
Pricing Structure: Paid (via Coursera)
Certifications Offered: IBM Data Analyst Professional Certificate
Language Options: English
Community and Support: Access to IBM resources and Coursera support.
8. Udemy
The Data Analyst Course: Complete Data Analyst Bootcamp” on Udemy provides comprehensive training for aspiring data analysts, covering Python, data collection, cleaning, preprocessing, visualization, and analysis.
Users will gain hands-on skills through practical exercises, coding challenges, and real-world case studies, preparing them for a data analyst role.
Course Diversity: The course includes theoretical understanding, basic to advanced Python programming, use of NumPy and pandas for data manipulation, working with text files, data collection techniques, and sophisticated data visualization methods.
Pricing structure : INR 499.
Certifications offered: Certificate of completion
Language Options: English (with subtitles in multiple languages)
Community and Support: Access to Q&A forums and instructor feedback.
9. Microsoft
The “Data Analyst Career Path” collection on Microsoft Learn provides a curated set of learning paths and modules aimed at developing skills for a data analyst role.
It emphasizes using Microsoft Power BI for data visualization, reporting, cleaning, transforming data, building data models, and implementing advanced analytics.
Course Diversity: This collection offers a variety of learning paths and modules, including Getting started with Microsoft data analytics, Preparing and modeling data with Power BI, Building Power BI visuals and reports, Managing workspaces and datasets in Power BI, Azure enterprise data analytics training
Pricing Structure: Free ($165 USD* for certificate)
Certifications Offered: Microsoft Certified: Data Analyst Associate
Language Options: English
Community and Support: Access to the Microsoft Tech Community for networking and support.
10. freeCodeCamp
The “Data Analysis with Python” certification by freeCodeCamp focuses on teaching the fundamentals of data analysis using Python.
It guides learners through the entire process, starting from reading data from various sources (like CSV, SQL and Excel), processing data using libraries such as NumPy and Pandas, and visualizing it with Matplotlib and Seaborn.
Course Diversity: The course covers a wide range of topics crucial for data analysis, including Introduction to Data Analysis, Using Jupyter Notebooks, Python programming basics, Utilizing NumPy for mathematical operations and data processing, and Data cleaning and visualization with Pandas, Matplotlib, and Seaborn.
Pricing Structure: Free
Certifications Offered: Data Analysis with Python Certification
Language Options: English
Community and Support: Access to the freeCodeCamp forum and community resources.
11. upGrad
upGrad’s Data Science courses offer a variety of programs, including Master’s degrees and certifications, designed to equip learners with skills in data analysis, machine learning, and AI.
Users will learn data processing, statistical inference, predictive analytics, and more, with content from top universities and industry leaders, providing a pathway to advance their careers in data science.
Course Diversity: Includes Master’s degrees, postgraduate diplomas, and certificates in Data Science, AI, and machine learning with specializations.
Pricing Structure: Paid (with various financing options)
Certifications Offered: Certificates and degrees from partnered universities like Liverpool John Moores University, IIIT Bangalore, and others.
Language Options: English
Community and Support: Access to mentorship, career guidance, and a network of industry professionals.
12. Crio.do
Crio’s Fellowship Program in NextGen Data Analytics with AI provides a comprehensive learning path for aspiring data analysts, covering Python, SQL, AI, machine learning, and big data.
Users will gain hands-on experience through real-world projects, industry-relevant case studies, and AI-driven analytics, preparing them for careers in top tech companies.
Course Diversity: Includes Python programming, SQL, machine learning, data visualization, AI, MLOps, and big data engineering.
Pricing Structure: Paid (with installment options starting at ₹7,222/month)
Certifications Offered: NSDC certification
Language Options: English
Community and Support: Access to personalized career services, mock interviews, and a community of 10,000+ professionals.
Learn Now
Frequently Asked Questions
1. What are the best websites for learning data analytics?
The best websites for learning data analytics are:
- GUVI
- Coursera
- edX
- DataCamp
- Dataquest
- Kaggle
2. What are some free data analytics learning websites along with certifications?
GUVI, Coursera, edX, DataCamp, Dataquest and Kaggle are some free Data Analytics learning websites along with certifications.
3. Why should I choose website for learning Data Analytics?
You should choose a website for learning Data Analytics because they offer flexibility and have a variety of learning resources. They cater to different learning styles with interactive tutorials, video lectures, and hands-on exercises.
4. How do I choose the right website for learning Data Analytics?
You can choose the right website for learning Data Analytics by considering factors like course content quality, learning style compatibility (videos, interactive exercises), instructor expertise, community support, and pricing.
5. Can a beginner learn Data Analytics effectively through websites?
Yes, beginners can effectively learn Data Analytics through websites. Many platforms offer beginner-friendly courses that start with basics and gradually progress to more complex topics.
6. Are there websites that offer content in multiple languages for learning Data Analytics?
Yes, some websites like GUVI, Coursera, edX, IBM and Udemy provide Data Analytics learning content in multiple languages and subtitles.
Final Words
These websites are like your personal data analysis labs, offering a range of resources from beginner tutorials to advanced techniques.
Keep checking this article as we will keep updating this space as more websites make space in the heart and study schedule of students preparing for placements and competitive exams.
Explore More Data Analytics Resources
Explore More Websites
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Thirumoorthy serves as a teacher and coach. He obtained a 99 percentile on the CAT. He cleared numerous IT jobs and public sector job interviews, but he still decided to pursue a career in education. He desires to elevate the underprivileged sections of society through education
Thirumoorthy serves as a teacher and coach. He obtained a 99 percentile on the CAT. He cleared numerous IT jobs and public sector job interviews, but he still decided to pursue a career in education. He desires to elevate the underprivileged sections of society through education
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