2624 Courses

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multi skills course

Free Level 5 QLS Endorsed Certificate | 14 in 1 Bundle with Free Certificates | 150 CPD Points | Installment Payment

FREE Level 7 QLS Endorsed Certificate | 11 CPD Courses+11 PDF Certificate| 150 CPD Points| CPD & CiQ Accredited

FREE Level 7 QLS Endorsed Certificate | 11 CPD Courses+11 PDF Certificate| 150 CPD Points| CPD & CiQ Accredited

Free Level 5 QLS Endorsed Certificate | 14 in 1 Bundle with Free Certificates | 150 CPD Points | Installment Payment

FREE Level 7 QLS Endorsed Certificate | 11 CPD Courses+11 PDF Certificates| 140 CPD Points| Installment Payment

Free Level 7 QLS Endorsed Certificate | 11 in 1 Bundle with Free Certificates | 170 CPD Points | Installment Payment

FREE Level 7 QLS Endorsed Certificate | 11 CPD Courses+11 PDF Certificates| 140 CPD Points| Installment Payment

Duration 3 Days 18 CPD hours This course is intended for Data Wrangling with Python takes a practical approach to equip beginners with the most essential data analysis tools in the shortest possible time. It contains multiple activities that use real-life business scenarios for you to practice and apply your new skills in a highly relevant context. Overview By the end of this course, you will be confident in using a diverse array of sources to extract, clean, transform, and format your data efficiently. In this course you will start with the absolute basics of Python, focusing mainly on data structures. Then you will delve into the fundamental tools of data wrangling like NumPy and Pandas libraries. You'll explore useful insights into why you should stay away from traditional ways of data cleaning, as done in other languages, and take advantage of the specialized pre-built routines in Python.This combination of Python tips and tricks will also demonstrate how to use the same Python backend and extract/transform data from an array of sources including the Internet, large database vaults, and Excel financial tables. To help you prepare for more challenging scenarios, you'll cover how to handle missing or wrong data, and reformat it based on the requirements from the downstream analytics tool. The course will further help you grasp concepts through real-world examples and datasets. Introduction to Data Structure using Python Python for Data Wrangling Lists, Sets, Strings, Tuples, and Dictionaries Advanced Operations on Built-In Data Structure Advanced Data Structures Basic File Operations in Python Introduction to NumPy, Pandas, and Matplotlib NumPy Arrays Pandas DataFrames Statistics and Visualization with NumPy and Pandas Using NumPy and Pandas to Calculate Basic Descriptive Statistics on the DataFrame Deep Dive into Data Wrangling with Python Subsetting, Filtering, and Grouping Detecting Outliers and Handling Missing Values Concatenating, Merging, and Joining Useful Methods of Pandas Get Comfortable with a Different Kind of Data Sources Reading Data from Different Text-Based (and Non-Text-Based) Sources Introduction to BeautifulSoup4 and Web Page Parsing Learning the Hidden Secrets of Data Wrangling Advanced List Comprehension and the zip Function Data Formatting Advanced Web Scraping and Data Gathering Basics of Web Scraping and BeautifulSoup libraries Reading Data from XML RDBMS and SQL Refresher of RDBMS and SQL Using an RDBMS (MySQL/PostgreSQL/SQLite) Application in real life and Conclusion of course Applying Your Knowledge to a Real-life Data Wrangling Task An Extension to Data Wrangling