• Vephla
  • Data

Python & Pandas

Unlock the power of data with our comprehensive course on Python and Pandas! Designed for beginners and intermediates alike, this course will guide you through the fundamentals of Python programming and its application in data analysis using the Pandas library.

Learn: Python | Pandas

  • 4.9

  • 100% Live Lessons

  • 1, 000+ Students

Mentor: Dr Richards Michael

What you'll learn

    Module 1: Introduction to Python

  • Introduction to Python: Overview and setup
  • Jupyter Notebooks / Anaconda: Installation, features, and usage
  • Variables in Python: Declaring and using variables
  • Variable Best Practices: Guidelines for naming conventions and usage
  • Camel Case (camelCase), Pascal Case (PascalCase), Snake Case (snake_case),
  • String Concatenation: Combining strings in Python
  • Variables for Arithmetic: Using variables in mathematical operations
  • Multiple Variables Assignment: Assigning values to multiple variables simultaneously
  • Print Statements: Outputting data to the console
  • String Merging with Variables: Embedding variables inside strings

    • Module 2: Data Types in Python

  • Numeric Data Types: Integers, Floats, Complex numbers
  • Sequence Data Types: Strings, lists, tuples
  • Boolean Data Type: True and False values
  • Set Data Type: Definition and operations
  • Dictionary Data Type: Key-value pairs
  • Best Practices for Data Types: Efficient and appropriate usage
  • List Data Types: Creation, manipulation, and indexing
  • Nested Lists: Working with lists within lists
  • Indexing and Slicing: Accessing elements in sequences
  • Tuples: Immutable sequences
  • Sets: Unordered collections of unique elements

    Module 3: Control Flow in Python

  • Comparison Operators: Equality, inequality, greater than, less than
  • Logical Operators: AND, OR, NOT
  • Membership Operators: in, not in
  • Conditional Statements: if, else, elif
  • For Loops: Iterating over sequences
  • While Loops: Repeating actions based on a condition
  • Functions in Python: Defining and using functions

    • Module 4: Python Projects & Web Scraping

  • Data Type Conversions: Changing between different data types
  • Project 1: Building a BMI Calculator
  • Project 2: Building an Automated File Sorter for File Explorer
  • Project 3: Web Scraping Basics with HTML
  • Introduction to BeautifulSoup + Requests
  • Using find() and find_all() in web scraping
  • Project 4: Scraping Data from a Real Website

    • Module 5: Pandas for Data Analysis

  • Introduction to Pandas: Setting up and reading data
  • Reading Files: Loading CSV, Excel, and other formats
  • Filtering Columns and Rows: Accessing and manipulating specific data
  • Indexes in Pandas: Setting and using indexes
  • Group By and Aggregate Functions: Summarizing data
  • Merging DataFrames: Combining data from multiple sources

    • Module 6: Data Analysis Projects with Pandas

  • Project 5: Creating Visualizations using Pandas
  • Project 6: Data Cleaning and Preparation in Pandas
  • Project 7: Exploratory Data Analysis (EDA)
  • Project 8: Amazon Web Scraping using Python
  • Project 9: Automating Cryptocurrency Website API Pull using Python

    • Module 7: Portfolio Project

  • Final Portfolio Project: Build a comprehensive project showcasing all learned skills, with a focus on real- world applications (e.g., data analysis, web scraping, automation).

Requirements

  • This course has no skill prerequisites; however, having a basic familiarity with computer operations is beneficial.
  • Personal computer—whether it's a Mac, Windows PC, or a Linux machine
  • A stable internet connection is essential for engaging in virtual classes, downloading required softwares, and for individual practice.
  • Time

About This Course

You will start by learning Python basics, including data types, control structures, and functions. Then, you will delve into Pandas to perform data manipulation, cleaning, and analysis. With hands-on projects and real-world datasets, you will gain practical experience in handling data, performing exploratory data analysis (EDA), and visualizing results.

By the end of this course, you will be equipped with the skills to analyze complex datasets efficiently and make data-driven decisions across various domains. Join us to elevate your data analysis skills and embark on your journey in the data science field!

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Instructor

Dr Richards Michael

Data Engineer

  • 5.0
  • 1,500+ Students

Mentor Richards is a skilled Data Analytics professional with a Master's in Big Data Analytics from the University of Derby, UK. He has expertise in various Engineering Tech Stacks, contributing to process optimization and market enhancement for organizations. His strategic approach focuses on promoting business growth and efficiency. Additionally, Richards is committed to knowledge-sharing and continuous learning within the tech community, advancing data analytics and technology.

Review
Adenike Idowu
4.9

Empowering and Educative!

I am grateful for the invaluable resources that Vephla University provided throughout my studies. The platform’s comprehensive curriculum was a perfect fit for my diploma program, offering both essential knowledge and specialized skills needed in my field. The self-paced learning format was incredibly beneficial, especially during my hectic finals season— I could manage my time while diving deep into complex topics.

  • Helpful
  • Not helpful
Wivina Omolemen
4.9

Life-Changing Educational Journey!

As a recent graduate, I can confidently say that Vephla University played an instrumental role in my academic success. The platform offered a diverse range of courses that not only enriched my knowledge but also developed my practical skills. The interactive learning modules made difficult concepts easier to grasp, and I loved how I could learn at my own pace.

  • Helpful
  • Not helpful
Apply Now

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₦149,999

40% OFF

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This course includes:

  • Job summit

  • Portfolio creation

  • Projects

  • Live classes

  • Full lifetime access

  • Diploma certification

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