PYTHON FOR DATA ANALYTICS CLASS

Audience: Professionals, Students and Non-Tech Professionals

What you’ll learn in this Python Data Analytics Training

Explore our comprehensive Python class designed to empower you with essential skills in Python for data analysis

Course Overview

  • No Prerequisite Knowledge required: Beginners to Pro
  • Live Online Session: Class is purely online on zoom on weekdays and weekends
  • Get Course content: Get downloadable course materials and recorded videos 
  • Purely Hands-on: Do a project work after each module to use as portfolio
  • Certificate of completion: Get a certificate of completion after the class
  • Master Python: Variables, Functions 
  • Equip yourself for data-driven roles: Gain essential skills for career advancement in data analytics and decision-making.

What You will learn in Python

  1. Introduction to Python
  • Overview of Python language
  • Installation and setup
  • Markdown and code cells
  1. Basic syntax and Comments (print())
  • Variables
  • data types (Strings, integers, Float, Boolean, Complex)
  • Other Data Types (Lists, Tuples, Sets, and Dictionaries)
  • String Functions
  • Operators (Comparison, Logical and Assignment)

Control Flow

  • If, Elif, Else
  • Loops (for and while)
  • Functions
  • Inputs

Python Libraries for Data Analysis

  • What is Numpy
  • NumPy Basics
  • Arrays and basic operations
  • Mathematical functions

Pandas Basics

  • What is Pandas
  • Reading DataFrame
  • Selecting and Data indexing
  • Filtering Columns and Rows
  • Aggregate and Group By
  • Merging DataFrames
  • Data cleaning

What You will learn in Python

Exploratory Data Analysis (EDA)

  • Introduction to Exploratory Data Analysis
  • Understanding data distributions
  • Identifying patterns and trends

Statistical Analysis and Data Aggregation with Pandas

  • Descriptive statistics
  • Grouping and aggregation

Data Visualization with Matplotlib and Seaborn

Matplotlib for Visualization

  • Line plots, scatter plots, and bar charts
  • Customizing plots

Seaborn for Statistical Visualization

  • Heatmaps, violin plots, and pair plots
  • Enhancing data visualizations

Machine Learning Basics with Scikit-Learn

  • Introduction to Machine Learning
  • Supervised vs. unsupervised learning
  • Overview of common algorithms
  • Building and Evaluating Models with Scikit-Learn
  • Data splitting for training and testing
  • Model training and evaluation
  •  

Real-world Applications and Capstone Project

  • Diabetes Prediction
  • Sales Prediction