Mode
Offline / Online / Weekend
Duration
4 Hours
Who Should Enroll
Working professionals, College students, Data Enthusasts, professionals looking to enhance their skill set
Prerequisites
No prior knowledge is needed
Program Objectives
Exploratory Data Analysis is the basic and most essential part of Data science. The objective of this program is to help learners with the fundamentals of EDA to prepare the learner for the field of Data Science.
By attending this short course over a weekend or during evening hours, learner can get started with Data science fundamentals.
Key Topics
- Introduction to EDA
- Importance of EDA in Data Science
- Overview of EDA Process using Matplotlib & Seaborn
- Data Visualization
- Visualizing Distributions
- Correlation and Relationships
- Data Cleaning
- Handling Missing Values: Detecting and Removing Outliers
- Data Transformation and Normalization Feature Engineering Creating new Features
- Feature Selection Techniques
Faculty and Resources
- Taught by experienced industry professionals.
Certification
Upon completion, participants will receive a Certificate of participation in Data Science with Python.
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Course Features
- Lectures 0
- Quizzes 0
- Duration 4 hours
- Skill level All levels
- Language English
- Students 0
- Assessments Yes
