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Data Analysis Using Python

Course Code: XLT-0005

FREE ACCESS

  •   Access to course content
  •   No access to labs
  •   Certificate not included

PAID ACCESS

  •   Access to course content
  •   Access to all course labs
  •   Blockchain Enabled Certificate and Badges

About This Course

Understanding and analyzing data is one of the key skills required in the industry today. This course is completely focused on the various aspects of data analytics using Python. Participants will be taught to use and taken through the key libraries for data ingestion and manipulation, exploratory data analysis, model building and data visualization as well as the basic statistics knowledge required to understand the concepts in the latter courses.

This particular course should be attended by those who want to learn data analytics using Python should attend this intermediate course. Applicable to students, working professionals and PMETs.

Schedule

Quarter 2: June 20-21
Quarter 3: September 05-06
Quarter 4: December 12-13

Requirements

This course requires a basic understanding of Python. Participants who do not have the basic knowledge are encouraged to take up Basics of Python prior to this course.

What you'll learn

In this course, you will learn how to:
  • Understanding Data
  • Data Wrangling
  • Exploratory Data Analysis
  • Data Visualization
  • Hypothesis Testing

Course Staff

Course Staff Image #1

Renuga Devi

Renuga is a highly accomplished and dynamic international trainer. She holds a Bachelor of Technology in Information Technology degree from Anna University, Chennai, following which she is awarded a Master of Engineering in Computer Science and Engineering degree from the same university.

She has shouldered responsibilities in making an effective contribution to teaching and learning in various disciplines, modelling teamwork and flexibility to ensure pedagogical and commercial success. She has the ability to apply innovative teaching methods to encourage trainees’ learning objectives and stay abreast of developments within new technologies to improve curriculum, develop new research.

Renuga has published various papers in the international journal. Her efforts and excellence have been acknowledged and awarded at various dignified platforms and forums. She has received the “Smart India Hackathon Award” and Best Result Producer Award”.

She is currently working as a data science trainer with Xaltius and teaches corporate professionals, students and PMETs in the areas of Programming, Data Science and Analytics.


Course Details

  1. Classes Start

  2. Estimated Effort

    Quarter 2: June 20-21, Quarter 3: September 05-06, Quarter 4: December 12-13
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