Python Data Wrangling Training

In this Python Data Wrangling course, you will learn how to use Python to extract/transform data from various sources, including large database vaults and Excel financial tables. You will also explore insights into why you should avoid traditional data cleaning methods, as done in other languages, and take advantage of the specialized functions from NumPy and Pandas. Python Data Wrangling Training Benefits In this Python Wrangling course, you will learn how to do the following: Extract and parse data from various sources. Transform and clean data using Numpy and Pandas. Summarize and visualize data with Matplotlib. Read HTML, XML, and JSON data from internet resources. Search and filter data sets. Apply Python tools and techniques to process data sets efficiently. Continue learning and face new challenges with after-course one-on-one instructor coaching. Prerequisites: You should know Python basics, including data structures, importing and using modules, creating functions, and using the Jupyter Notebook platform. Python Data Wrangling Training Outline Module 1: Introduction to Data Structure Using Python In this module, you will learn about the following: Python for Data Wrangling Lists, Sets, Strings, Tuples, and Dictionaries Module 2: Advanced Operations on Built-In Data Structure In this module, you will learn about the following: Advanced Data Structures Basic File Operations in Python Module 3: Introduction to NumPy, Pandas, and Matplotlib In this module, you will learn about the following:  NumPy Arrays  Pandas DataFrames  Statistics and Visualization with NumPy and Pandas  Using NumPy and Pandas to Calculate Basic Descriptive Statistics on the DataFrame  Module 4: Deep Dive into Data Wrangling with Python In this module, you will learn about the following:  Subsetting, Filtering, and Grouping  Detecting Outliers and Handling Missing Values  Concatenating, Merging, and Joining  Useful Methods of Pandas  Module 5: Getting Comfortable with Different Data Sources In this module, you will learn about the following:  Reading Data from Different Text-Based (and Non-Text-Based) Sources  Introduction to BeautifulSoup4 and Web Page Parsing  Module 6: Learning the Hidden Secrets of Data Wrangling In this module, you will learn about the following:  Advanced List Comprehension and the zip function  Data Formatting  Module 7: Advanced Web Scraping and Data Gathering In this module, you will learn about the following:  Basics of Web Scraping and BeautifulSoup libraries  Reading Data from XML  Module 8: RDBMS and SQL In this module, you will learn about the following: Refresher of RDBMS and SQL Using an RDBMS (MySQL/PostgreSQL/SQLite) Module 9: Application in Real Life and Conclusion of Course In this module, you will learn about the following: Applying Your Knowledge to a Real-life Data Wrangling Task An Extension to Data Wrangling