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automation
Python for Data Analysis
Transform raw data into valuable insights with Python's powerful toolkit. This course teaches you to clean, analyze, and visualize data using Pandas, NumPy, and visualization libraries. Then automate repetitive tasks through web scraping, API integration, and script automation. Whether you're looking to streamline business processes or launch a data career, you'll learn practical skills to handle real-world data challenges efficiently.
$99999
Course Content
Module 1: Module 1: Python Fundamentals for Data Handling
1
Lesson 1: Introduction to Python & Jupyter Notebooks
2
Lesson 2: Python Data Structures (Lists, Dictionaries, Tuples, Sets)
3
Lesson 3: Working with NumPy for Numerical Computing
4
Lesson 4: Data Manipulation with Pandas (Series & DataFrames)
5
Lesson 5: File Handling (CSV, Excel, JSON) in Python
Module 2: Module 2: Data Analysis & Visualization
1
Lesson 1: Data Cleaning & Preprocessing (Handling Missing Data, Outliers)
2
Lesson 2: Exploratory Data Analysis (EDA) Techniques
3
Lesson 3: Data Visualization with Matplotlib & Seaborn
4
Lesson 4: Advanced Pandas Operations (GroupBy, Pivot Tables, Merging Data)
5
Lesson 5: Working with Time Series Data
Module 3: Module 3: Automation & Real-World Applications
1
Lesson 1: Web Scraping with BeautifulSoup & Requests
2
Lesson 2: Automating Excel & PDF Reports with Python
3
Lesson 3: API Interaction & Data Collection (REST APIs, JSON Parsing)
4
Lesson 4: Task Automation with Python Scripts (OS, Scheduler, Email Automation)
5
Lesson 5: Capstone Project – Building an End-to-End Data Pipeline
Instructor
Mike
Instructor
he has great insights about the future of automation