Python Foundations For Data Analysis & Business Intelligence

Description

This is a hands-on, project-based course designed to help you master the core building blocks of Python Foundations For Data Analysis & Business Intelligence.

We’ll begin by presenting the Python language and biological system, introducing Anaconda and Jupiter journals where we’ll compose our most memorable lines of code, and looking into key Python information types and highlights.

All through the course you will assume the part of Data Analytics Intern for Maven Ski Shop, the world’s #1 store for skis, snowboards and winter gear. Utilizing the abilities acquired during the course, you will assist the Maven with joining track stock, estimating and deals execution utilizing your Python abilities.

COURSE OUTLINE:

  • Why Python for Analytics?
    • Present the Python examination biological system and why it’s the programming instrument of decision for the majority information experts
  • Jupyter Notebooks
    • Introduce Anaconda and make your most memorable Jupyter Notebook, an easy to understand Python coding climate intended for information examination
  • Python Data Types
    • Present local Python information types, normal use cases, type transformation strategies, and key ideas like emphasis and impermanence
  • Variables
    • Figure out how to name and store values in memory utilizing factors, as well as how to overwrite, erase and follow them
  • Numeric Data
    • Figure out how to function with numeric information, and utilize numeric capabilities to play out a scope of math tasks
  • Strings
    • Figure out how to control text by means of ordering and cutting, compute string lengths, apply different string techniques, and print f-strings to incorporate factors
  • Conditional Logic – Python Foundations for Data Analysis
    • Learn how to use IF statements and Boolean operators to establish conditional logic and control the flow of your programs
  • Sequence Data Types
    • Learn how to create, modify, and nest lists, tuples, and ranges, all of which allow you to store many values within a single variable
  • Loops
    • Understand the logic behind For and While loops and learn how to refine loop logic and handle common errors
  • Dictionaries & Sets
    • Address the limitations of working with lists and explore common scenarios for using dictionaries and sets in their place
  • Functions
    • Learn how to create custom functions in Python to boost productivity, and how to import external functions stored in modules or packages
  • Manipulating Excel Sheets
    • Import the openpyxl package and manipulate data from an Excel worksheet using the Python skills you’ve learned throughout the course
  • Final Project
    • Import and manipulate data from an Excel workbook
Join today and get immediate, lifetime access to the following:
  • 11+ hours of high-quality video
  • Python Foundations PDF ebook (300+ pages)
  • Downloadable project files & solutions – Python Foundations for Data Analysis
  • Expert support and Q&A forum
  • 30-day money-back guarantee

If you’re an Analyst, Data Scientist, or Business Intelligence professional looking to build a strong Python foundation and add powerful skills to your resume, this is the course for you!

Happy learning!

Python Foundations for Data Analysis

What you’ll learn

  • Master the building blocks of base Python, including data types, variables, loops, functions and more
  • Learn how to use Jupyter Notebooks to write, manage, and comment your Python code
  • Analyze and manipulate numeric data, text strings, lists, tuples, dictionaries and sets
  • Explore raw data using conditional logic, nested loops, custom functions, and comprehensions
  • Use Python’s Openpyxl package to read & write data to Excel worksheets
  • Build solid, foundational Python skills for data analysis & business intelligence

Requirements

  • No Python or programming experience required (we’ll cover everything you need to know!)
  • We’ll use Anaconda & Jupyter Notebooks (a free, user-friendly coding environment)

Who this course is for:

  • Analysts or BI professionals looking for a deep introduction to basic Python
  • Aspiring data scientists who want to build foundational Python programming skills
  • Anyone interested in learning one of the most popular open source programming languages in the world
  • Students looking to learn powerful, practical skills with hands-on projects and course demos

Created by Maven Analytics, Chris Bruehl

Last updated 05/2022

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Size: 2.91GB

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