Data Analytics | Basic Course

📌 Online Self-Paced Course: Data Analytics

📘 About this Course

This self-paced online course on Data Analytics provides a comprehensive foundation in data analysis, machine learning, visualization, and industry applications. The course equips learners with practical skills using real-world datasets and tools like Python, R, and Tableau.

📌 Course Overview

• Learn the fundamentals of Data Analytics, Machine Learning, and Data Visualization

• Gain hands-on experience with clustering, classification, regression, and network analysis

• Explore educational data analytics and social network analysis with case studies

• Develop skills in data security, performance analysis, and predictive modeling

• Use industry-standard tools like Python, R, Tableau, Power BI, and SQL

• Learn from expert educators from the Swayam Portal

📌 Course Curriculum / Modules

🔹 Week 1: Introduction to Data Analytics – Overview, Data Types, Workflow, Security

🔹 Week 2: Clustering & Classification – Machine Learning Basics, Predictive Analytics

🔹 Week 3: Machine Learning for Data Science – Neural Networks, Regression, Analytics Tools

🔹 Week 4: Social Network Analysis – Twitter/Facebook Data, Sentiment Analysis

🔹 Week 5: Educational Data Analytics – Student Behavior, Learning Associations

🔹 Week 6: Performance Factors Analysis – Bayesian Knowledge Tracing, Interaction Networks

🔹 Week 7: Data Visualization – Learning Curves, Heat Maps, Parameter Space Maps

🔹 Week 8: Advanced Topics – Personalized Recommendation, Real-World Case Studies

📌 What You Will Learn

✅ Understand data analytics workflows, machine learning techniques, and visualization

✅ Learn how to analyze structured and unstructured data

✅ Implement clustering, classification, and regression models

✅ Gain hands-on experience with social media data and educational analytics

✅ Master data visualization techniques using modern tools

✅ Work with real-world datasets and case studies from industries like Google, Amazon, Healthcare, and Government

📌 Learning Objectives

🎯 Develop a strong foundation in Data Analytics

🎯 Understand key machine learning concepts and their applications

🎯 Learn to clean, analyze, and visualize data effectively

🎯 Apply predictive modeling and clustering techniques in real-world scenarios

🎯 Explore ethical considerations and data security in analytics

📌 Course Features & Benefits

✔️ 100% Online & Self-Paced – Learn at your own convenience

✔️ Industry-Relevant Curriculum – Practical case studies & hands-on projects

✔️ Access to Recorded Lectures – Expert content from Swayam Portal

✔️ Assignments & Quizzes – Evaluate and enhance your learning

✔️ Capstone Project – Solve real-world data problems

✔️ Lifetime Access – Revisit the content anytime

✔️ Downloadable Resources & References

📌 Who This Course is For?

👨‍💻 Aspiring Data Analysts & Data Science Enthusiasts

📊 Business Analysts & Professionals looking to enhance analytical skills

🎓 Students & Researchers in Computer Science, AI, and Data Science

🏢 Working Professionals from Finance, Marketing, and Healthcare sectors

📈 Entrepreneurs & Startups leveraging data-driven decision-making

📌 Skills Covered

📌 Data Analysis & Data Cleaning

📌 Machine Learning & Predictive Analytics

📌 Data Visualization (Tableau, Power BI, Python – Matplotlib & Seaborn)

📌 Big Data & Social Network Analysis

📌 Performance Analysis & Behavioral Analytics

📌 Business Intelligence & Decision-Making

📌 Complimentary Benefits for Students Enrolling Now

🎁 Free Access to additional learning materials & case studies

🎁 Industry Expert Sessions from top data scientists

🎁 Hands-on Projects with real-world datasets

🎁 Resume & LinkedIn Profile Review for career advancement

🎁 Networking Opportunities with peers and industry experts

📌 Course Certificate Advantage

🏅 Earn a Globally Recognized Certificate upon successful completion

🏅 Showcase your skills on LinkedIn, Resume, and Job Portals

🏅 Increase your chances of landing high-paying roles in Data Analytics

📌 Instructor Bio

👨‍🏫 Learn from industry experts and academic professionals with years of experience in Data Analytics, AI, and Machine Learning. The course is curated in collaboration with Swayam Portal, ensuring high-quality content.

📌 Books & References

📚 Introduction to Data Science – Joel Grus

📚 Data Science for Business – Foster Provost & Tom Fawcett

📚 Python for Data Analysis – Wes McKinney

📚 Machine Learning Yearning – Andrew Ng

📌 Top Indian Companies Hiring for These Skills

🏢 TCS, Infosys, Wipro, HCL, Capgemini

🏢 Accenture, Deloitte, EY, PwC, KPMG

🏢 Google, Amazon, Flipkart, Microsoft, Reliance

🏢 ICICI, HDFC, Paytm, Swiggy, Zomato

📌 Video Source Disclaimer

🎥 Expert Educators from Swayam Portal – Government-certified, high-quality learning resources