Data Science & AISee Pricing & Enroll
Python for Data Cleaning Visualization and Basic Machine Learning
Learn how to load and clean messy data. Master data visualization in two weeks and build basic machine learning models.
8 Weeks
Live Zoom (Weekdays)
Muhammad Shahmeer
Course Overview
This course will take you from simple Python basics all the way to building real machine learning models. The course runs for 8 weeks which gives us enough time to cover everything in detail. We will spend two full weeks just on making beautiful charts and professional dashboards.
You will not just watch boring slides. The instructor will write code live and show you how to fix real errors. We will use one main real world dataset throughout the whole course. You will watch this messy data turn into a clean and smart prediction model by the end of the classes.
What You'll Learn
- Week 1
- • Python Essentials for Data Handling
- • Introduction to Python and Jupyter Notebooks
- • Basic Data Types and Variables
- • Python Collections like Lists and Dictionaries
- • Loops and Reusable Functions
- Week 2
- • NumPy and Loading Raw Datasets
- • Introduction to NumPy Arrays and Math
- • Understanding Pandas DataFrames
- • Reading CSV Excel and JSON Files
- • Checking Data Structure and Details
- Week 3
- • Data Cleaning and Preprocessing
- • Fixing and Handling Missing Values
- • Correcting Bad Data Types
- • Removing Duplicates and Outliers
- • Fixing Text Data and Words
- Week 4
- • Advanced Data Manipulation
- • Filtering Data with Multiple Conditions
- • Grouping and Summarizing Data
- • Joining Multiple Data Tables Together
- • Creating New Custom Data Columns
- Week 5
- • Comprehensive Data Visualization Part 1
- • Basics of Visual Design and Layouts
- • Making Line and Bar Charts
- • Creating Histograms and Box Plots
- • Customizing Chart Colors and Labels
- Week 6
- • Comprehensive Data Visualization Part 2
- • Making Scatter and Bubble Charts
- • Finding Trends with Heatmaps
- • Building Multi Chart Dashboards
- • Polishing Charts for Professional Presentations
- Week 7
- • Transitioning to Machine Learning
- • Supervised vs Unsupervised Learning
- • Converting Text Data to Numbers
- • Splitting Data for Training and Testing
- • Scaling and Preparing Data for Models
- Week 8
- • Machine Learning Implementations
- • Predicting Numbers with Linear Regression
- • Making Choices with Logistic Regression
- • Building Decision Trees and Random Forests
- • Checking Model Accuracy and Performance
Enrollment Plans
Standard Access
Rs 13999Rs 9999
- Complete Course Access
- Live Sessions
- Certificate of Completion
- Community Access