Python for Data Analysis & Business Intelligence
Python for Data Analysis & Business Intelligence, available at $84.99, has an average rating of 4.64, with 226 lectures, 48 quizzes, based on 1400 reviews, and has 9668 subscribers.
You will learn about 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 This course is ideal for individuals who are Analysts or BI professionals looking for a deep introduction to basic Python or Aspiring data scientists who want to build foundational Python programming skills or Anyone interested in learning one of the most popular open source programming languages in the world or Students looking to learn powerful, practical skills with hands-on projects and course demos It is particularly useful for Analysts or BI professionals looking for a deep introduction to basic Python or Aspiring data scientists who want to build foundational Python programming skills or Anyone interested in learning one of the most popular open source programming languages in the world or Students looking to learn powerful, practical skills with hands-on projects and course demos.
Enroll now: Python for Data Analysis & Business Intelligence
Summary
Title: Python for Data Analysis & Business Intelligence
Price: $84.99
Average Rating: 4.64
Number of Lectures: 226
Number of Quizzes: 48
Number of Published Lectures: 226
Number of Published Quizzes: 47
Number of Curriculum Items: 274
Number of Published Curriculum Objects: 273
Original Price: $129.99
Quality Status: approved
Status: Live
What You Will 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
Who Should Attend
- 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
Target Audiences
- 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
This is a hands-on, project-based course designed to help you master the core building blocks of Python for data analysis and business intelligence.
We’ll start by introducing the Python language and ecosystem, installing Anaconda and Jupyter Notebooks where we’ll write our first lines of code, and reviewing key Python data types and properties.
From there we’ll dive into foundational Python tools like variables, numeric and string operators, loops, custom functions, and more. You’ll learn how to create and manipulate raw data, define conditional logic, loop through iterables or indices, and extract values stored in a wide variety of data types including dictionaries, lists, tuples, and more.
Throughout the course you’ll play the role of a Data Analytics Intern for Maven Ski Shop, the world’s #1 store for skis, snowboards and winter gear. Using the skills you learn throughout the course, you’ll help the Maven team track inventory, pricing, and sales performance using your Python data analytics skills.
COURSE OUTLINE:
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Why Python for Data Analytics?
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Introduce the Python analytics ecosystem and why it’s the programming tool of choice for many data analysts
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Jupyter Notebooks
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Install Anaconda and create your first Jupyter Notebook, a user-friendly Python coding environment designed for data analysis
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Python Data Types
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Introduce native Python data types, common use cases, type conversion methods, and key concepts like iteration and mutability
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Variables
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Learn how to name and store values in memory using variables, as well as how to overwrite, delete and track them
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Numeric Data
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Learn how to work with numeric data, and use numeric functions to perform a range of arithmetic operations
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Strings
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Learn how to manipulate text via indexing and slicing, calculate string lengths, apply various string methods, and print f-strings to include variables
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Conditional Logic
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Learn how to use IF statements and Boolean operators to establish conditional logic and control the flow of your programs
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Sequence Data Types
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Learn how to create, modify, and nest lists, tuples, and ranges, all of which allow you to store many values within a single variable
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Loops
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Understand the logic behind For and While loops and learn how to refine loop logic and handle common errors
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Dictionaries & Sets
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Address the limitations of working with lists and explore common scenarios for using dictionaries and sets in their place
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Functions
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Learn how to create custom functions in Python to boost productivity, and how to import external functions stored in modules or packages
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Manipulating Excel Sheets
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Import the openpyxl package and manipulate data from an Excel worksheet using the Python skills you’ve learned throughout the course
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Final Project
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Import and manipulate data from an Excel workbook
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Join today and get immediate, lifetime access to the following:
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11+ hours of high-quality video
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Python Foundations PDF ebook (300+ pages)
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Downloadable project files & solutions
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Expert support and Q&A forum
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30-day money-back guarantee
If you’re a data analyst, data scientist, or business intelligence professional looking to build a strong Python foundation and add powerful data analytics skills to your resume, this is the course for you!
Happy learning!
-Chris Bruehl (Python Expert & Lead Instructor,Maven Analytics)
__________
Looking for our full business intelligence stack? Search for “Maven Analytics“ to browse our full course library, including Excel, Power BI, MySQL, Tableau and Machine Learning courses!
See why our courses are among the TOP-RATED on Udemy:
“Some of the BEST courses I’ve ever taken. I’ve studied several programming languages, Excel, VBA and web dev, and Maven is among the very best I’ve seen!”Russ C.
“This is my fourth course from Maven Analytics and my fourth 5-star review, so I’m running out of things to say. I wish Maven was in my life earlier!”Tatsiana M.
“Maven Analytics should become the new standard for all courses taught on Udemy!”Jonah M.
Course Curriculum
Chapter 1: Getting Started
Lecture 1: Course Structure & Outline
Lecture 2: READ ME: Important Notes for New Students
Lecture 3: DOWNLOAD: Course Resources
Lecture 4: Introducing the Course Project
Lecture 5: Setting Expectations
Chapter 2: 1. Why Python for Analytics?
Lecture 1: What is Python?
Lecture 2: Python for Data Analysis
Lecture 3: The Python Analytics Ecosystem
Lecture 4: Data Roles that use Python
Chapter 3: 2. Jupyter Notebooks
Lecture 1: Jupyter Notebooks Intro & Install
Lecture 2: Launching Jupyter & Creating a Notebook
Lecture 3: The Jupyter Interface
Lecture 4: The Code Cell
Lecture 5: Comments & Markdown
Lecture 6: The Print Function & Function Help
Lecture 7: ALTERNATIVE: Google Colab
Lecture 8: Helpful Resources & Key Takeaways
Chapter 4: 3. Python Data Types
Lecture 1: Python Data Types
Lecture 2: The Type Function & Type Conversion
Lecture 3: DEMO: Type Function & Conversion
Lecture 4: Iterables & Mutability
Chapter 5: 4. Variables
Lecture 1: Intro to Variables
Lecture 2: DEMO: Variable Assignment
Lecture 3: ASSIGNMENT: Assigning Variables
Lecture 4: SOLUTION: Assigning Variables
Lecture 5: Overwriting Variables
Lecture 6: Deleting Variables
Lecture 7: DEMO: Overwriting & Deleting Variables
Lecture 8: Variable Naming Rules
Lecture 9: Keeping Track of Variables
Lecture 10: DEMO: Naming & Tracking Variables
Lecture 11: ASSIGNMENT: Variable Naming Rules
Lecture 12: SOLUTION: Variable Naming Rules
Lecture 13: Key Takeaways
Chapter 6: 5. Numeric Data
Lecture 1: Intro to Numeric Data
Lecture 2: Numeric Data Types
Lecture 3: Numeric Type Conversion
Lecture 4: Arithmetic Operators & Order of Operations
Lecture 5: DEMO: Numeric Data
Lecture 6: ASSIGNMENT: Arithemetic Operators
Lecture 7: SOLUTION: Arithmetic Operators
Lecture 8: Numeric Functions
Lecture 9: DEMO: Numeric Functions
Lecture 10: ASSIGNMENT: Numeric Functions
Lecture 11: SOLUTION: Numeric Functions
Lecture 12: Key Takeaways
Chapter 7: 6. Strings
Lecture 1: Intro to Strings
Lecture 2: String Arithmetic
Lecture 3: DEMO: String Creation & Arithmetic
Lecture 4: String Indexing
Lecture 5: DEMO: String Indexing
Lecture 6: ASSIGNMENT: String Indexing
Lecture 7: SOLUTION: String Indexing
Lecture 8: String Slicing
Lecture 9: DEMO: String Slicing
Lecture 10: ASSIGNMENT: String Slicing
Lecture 11: SOLUTION: String Slicing
Lecture 12: The Length Function
Lecture 13: ASSIGNMENT: The Length Function
Lecture 14: SOLUTION: The Length Function
Lecture 15: String Methods
Lecture 16: DEMO: String Methods
Lecture 17: ASSIGNMENT: String Methods
Lecture 18: SOLUTION: String Methods
Lecture 19: F-Strings
Lecture 20: DEMO: F-Strings
Lecture 21: ASSIGNMENT: F-Strings
Lecture 22: SOLUTION: F-Strings
Lecture 23: Key Takeaways
Chapter 8: 7. Conditional Logic
Lecture 1: The Boolean Data Type
Lecture 2: Comparison Operators & Membership Tests
Lecture 3: Boolean Operators
Lecture 4: DEMO: Boolean Data Types & Operators
Lecture 5: ASSIGNMENT: Boolean Operators
Lecture 6: SOLUTION: Boolean Operators
Instructors
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Maven Analytics
Empowering everyday people with life-changing data skills -
Chris Bruehl
Lead Python Instructor at Maven Analytics
Rating Distribution
- 1 stars: 9 votes
- 2 stars: 12 votes
- 3 stars: 70 votes
- 4 stars: 407 votes
- 5 stars: 906 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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