Top 10 Best Data Analytics Courses

1. IBM Data Analyst Professional Certificate (Coursera) 

This comprehensive program by IBM covers all the fundamental skills required for data analyst roles. It starts with basics like data analysis methodologies before diving into SQL, Python programming, data visualization, and a capstone project.

Syllabus:

• Data Analyst Methodology
• Excel, SQL, Python programming
• Data Visualization with Python
• Data Analysis with Python
• Data Analyst Capstone Project

Why Choose: Gets you job-ready with hands-on training on the latest data analytics tools and techniques used in industry. The professional certificate from IBM is highly valued by employers.

Course Duration: Approx. 8 months (5-6 hours/week) 

2. Google Data Analytics Professional Certificate (Coursera)

Developed by Google, this beginner-friendly program teaches how to use tools like SQL, R, and Tableau to process, analyze and visualize data.

Syllabus:

• Foundations: Data, Analytics, Visualization
• Ask Questions to Make Data-Driven Decisions
• Prepare Data for Exploration
• Data Processing with SQL & R
• Visualize Data with Tableau

Why Choose: Great entry point for complete beginners. Learn job-ready skills directly from Google's curriculum. Case studies from Google's own analytics processes.

Course Duration: Approx. 6 months (5 hours/week)

3. AWS Data Analytics Certification Course (Udemy)

A comprehensive training program to prepare for the AWS Certified Data Analytics - Specialty certification exam covering AWS analytics services.

Syllabus:

• AWS Analytics Services Overview
• AWS Glue, Athena, Redshift
• Kinesis, QuickSight, Data Pipeline
• EMR, Lake Formation, MSK
• Practice Tests & Mock Exams

Why Choose: Get trained on AWS data analytics tools that are highly in-demand. Practice exams and hands-on labs for effective preparation. Self-paced learning.

Course Duration: 26.5 hours of on-demand videos

4. Data Analysis Professional Certificate (Harvard/edX)

A rigorous online program from Harvard University that covers data wrangling, visualization, and analysis using R programming from statistical foundations.

Syllabus:

• Data Analysis: Statistics & R
• Data Analysis: Visualization
• Data Analysis: Wrangling
• Data Analysis: Capstone

Why Choose: High-quality curriculum designed by Harvard experts. Hands-on case studies using real-world datasets to solidify learning. Flexible self-paced option.

Course Duration: 8 courses, 4-8 hours/week each 

Course Fees: ₹59,130 (full program), ₹11,826 per course

5. Microsoft Professional Program in Data Science (edX)

A comprehensive data science program from Microsoft and partner universities that covers statistics, Python programming, machine learning and ethics.

Syllabus:

• Data Science Orientation
• Introduction to Python
• Querying Data with SQL
• Statistics and Machine Learning
• Machine Learning with Python
• Data Science Capstone

Why Choose: Get trained on the latest data analytics techniques using Microsoft's cloud technologies. Hands-on labs, capstone project and Microsoft certification prep.

Course Duration: 10 courses, 4-6 hours/week each

Course Fees:  ₹59,568 (full program), pay per course option

6. Data Analytics Course (Simplilearn)

A flexible and affordable online training program offering self-paced and instructor-led options. Learn R, SAS, Excel, Tableau and get exposure to real industry projects.

Syllabus:

• Data Analytics with Excel & R
• Statistics Essentials
• SQL Fundamentals
• Tableau Desktop Training
• Industry Projects & Certification

Why Choose: Great for both beginners and experienced professionals looking to upskill. Self-paced option allows you to learn at your own pace. Includes industry projects and certification exam.

Course Duration: 60 hours of learning content

7. Data Analytics with Python (DataCamp) 

Interactive online courses focused on teaching Python and its popular data analytics libraries like Pandas, NumPy, Matplotlib for data manipulation, analysis and visualization.

Syllabus:

• Introduction to Python
• Intermediate Python
• Data Manipulation with Pandas
• Joining Data with Pandas
• Introduction to Data Visualization

Why Choose: Perfect for beginners who want to master Python for data analytics from scratch. Exercise-based learning with feedback and skill tracks to progressively build skills.

Course Duration: Self-paced, 70+ hours of content

8. Data Analyst Nanodegree (Udacity) 

A project-based online curriculum designed by Udacity to prepare you for data analyst jobs. Learn SQL, Python, statistics, and data wrangling by working on real-world projects with guidance from instructors.

Syllabus:

• Introduction to Data Analysis
• Practical Statistics
• Data Wrangling with SQL & Python
• Data Visualization with Python
• AB Testing & Experimental Design

Why Choose: Get personalized mentorship, technical mastery through projects, career coaching, and expert instruction. Udacity's innovative nanodegree programs are trusted by top companies.

Course Duration: Approx. 4 months (10 hours/week) 

9. Data Analytics Bootcamp (Thinkful)

An intensive online program that combines 1-on-1 mentoring with hands-on portfolio projects to get you ready for data analyst job interviews. Learn SQL, Python, stats, data viz and more.

Syllabus:

• Data Analysis Fundamentals
• SQL for Data Analysis
• Python for Data Analysis
• Statistics, Data Viz & Dashboards
• Portfolio Projects & Job Preparation

Why Choose: Get personalized mentorship, portfolio-worthy projects, career services like resume prep and interview coaching. Thinkful has a job guarantee or tuition refund.

Course Duration: Approx. 6 months (20-25 hours/week) 

10. Data Analytics Bootcamp Program (Great Learning)

A comprehensive program with a mix of online classes, hands-on projects and personalized career coaching to launch your data analytics career. Covers key tools like Excel, SQL, Tableau, and Python.

Syllabus:

• Excel and Statistics Fundamentals
• Working with Data Sources with SQL
• Data Analytics with Python
• Data Visualization with Tableau
• Data Analytics Final Project

Why Choose: Great Learning programs have a proven track record of job placement through their career services and project-based training from industry experts.

Course Duration: 4 Months