Python for Data Science Foundation

Certification by GRADSKEY

Python for Data Science Foundation

Syllabus

65 hours of intractive online class.

 

Module 1: Python Programming Fundamentals

Python Syntax, Variables, and Data Types

Control Structures and Loops

Functions and Modules

File Handling and Exception Management

Module 2: Data Structures in Python

Lists, Tuples, and Sets

Dictionaries and Nested Structures

String Manipulation Techniques and  Comprehensions and Iterators

Module 3:Numerical Computing with NumPy

Introduction to NumPy Arrays

Array Operations and Broadcasting

Mathematical and Statistical Functions and Data Manipulation with NumPy

Module 4: Data Analysis with Pandas

Series and DataFrames

Data Import and Export

Data Cleaning and Transformation

Data Aggregation and Grouping

Module 5:Data Visualization

Introduction to Matplotlib

Creating Charts and Graphs

Data Visualization Best Practices

Interactive Visualization Basics

Module 6:Exploratory Data Analysis

Data Profiling and Summary Statistics

Handling Missing Values and Outliers

Correlation and Trend Analysis

EDA Case Study

 

Module 7: Introduction to Machine Learning

Machine Learning Concepts and Workflow

Data Preparation for ML

Supervised Learning Fundamentals

Model Evaluation Basics

Module 8:Data Science Mini Project

 

Problem Definition and Dataset Selection

Data Cleaning and Analysis

Visualization and Insights Generation and Project Presentation and Assessment

Instructor

Corporate Instructors

From Premier Companies.

“Instructors are from Corporate – Software Engineers from premium companies, working on the cutting-edge technologies and Java on a day to day basis..”

IIT Mentor

Dr. Ranganathan has done his PhD from Clarkson University, USA. With 25+ years of experience, he is skilled and experienced to ideate, research, implement, lead and build end to end products that use data driven models for providing insights, fault diagnosis, closed loop control actions. His Specialties are: Machine learning, Process Control, algorithm development, Advanced Process Control, Model Predictive Technology, Fault detection and diagnosis, Applied Optimization.
Dr. Ranganathan
Adjunct Professor at IIT Madras, Ex-Fellow at Honeywell

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