Academic Advisor - A P Srivastava

M.tech, PGDM (IMT Ghaziabad), Computer Science & Engineering Expert

Introduction

Welcome to the comprehensive online course on Data Science & Big Data Analytics! This course is designed to equip you with the essential skills and knowledge needed to excel in the rapidly evolving fields of data science and big data. Beginning with foundational concepts in data science, probability, and statistics, you will learn to prepare, visualize, and interpret data effectively for analysis. Dive deep into cutting-edge topics like big data architecture, MapReduce programming, and other advanced tools used in managing and analyzing large-scale datasets. Explore NoSQL databases, data mining techniques, and stream mining to harness insights from dynamic and voluminous data sources. Additionally, the course introduces R programming, guiding you through data interfacing, visualization, and advanced analytics, enabling practical and robust data analysis. With hands-on practice and real-world applications, this course is your pathway to mastering the art and science of big data analytics.

What You Get in This Course?

1. Module-Wise Study Material: A structured approach to learning, with In-depth Study Materials provided for each module to understand the topic better in an easy format.
2. Video Tutorials: Module-wise video tutorials that explain each topic briefly through textual, pictorial and graphical with audio explanation representations to enhance your learning experience.
3. Important Questions with Answers: This section includes essential questions with their answers for each module to solidify the student’s knowledge.
4. Practice Interview Questions: After studying each module, check yourself with practice questions that will prepare you for job interviews & real-world scenarios.
5. Final Exam Quiz: A comprehensive quiz at the end of the course to test the student’s overall Study and Knowledge of the course
6. Course Completion Certificate: A Course Study Completion Certificate is awarded upon achieving at least 40% marks in the Final Exam Quiz.

What will you learn

• Introduction to Data Science
• Portability and Statistics for Data Science
• Data Preparation for Analysis
• Data Visualization and Interpretation
• Big Architecture
• Programming Using Mapreduce
• Other Big Data Architectures and Tools
• NoSQL Database
• Mining Big Data
• Mining Data Streams
• Link Analysis