Welcome to the Most Comprehensive Data Analytics Course Available!
This course is a great choice for beginners looking to expand their skills in Data Analytics. You also create a solid portfolio of your work online and can link it on your resume.
At 11+ hours, this Python and Tableau course will teach you the core principles of Data Analytics at every stage in the pipeline. Even if you have no programming experience, this course will take you from beginner to professional.
Why you should take this course:
Our learning is going to be project-centric: we will tackle the core concepts in Python and Tableau as it comes up in the real life projects we’ll be working on.
You get experience in both Python and Tableau - the two powerhouses in the data analytics community.
You also understand how you can clean/analyze data in Python and then visualize it in Tableau - an end-to-end process that many data analysts use today.
You get a chance to showcase your work in a portfolio online!
Learn about Two Powerhouses in Data Analytics
This Python and Tableau course will teach your the core principles of Data Analytics at every stage in the pipeline. Even if you have no programming experience, this course will take you from beginner to professional.
We Learn by Doing Real Life, Practical Projects
We learn like how real data analysts learn! We will tackle the core concepts in Python and Tableau as it comes up in the real life projects we’ll be working on.
Create a Portfolio of Work to Share Online
This course is structured for you to end up with a portfolio of work which shows the Python script as well as the Tableau Dashboard. You can use this on your resume or share it online.
Curriculum
- Introduction to Spyder Layout (5:58)
- Playing around with Python (14:51)
- Project 1 Value Inc: Working with Pandas and Reading CSV Files (22:10)
- Project 1 Value Inc: What happens when we close Spyder (1:55)
- Project 1 Value Inc: Calculations on Python Part 1 (25:26)
- Project 1 Value Inc: Calculations on Python Part 2 (20:38)
- Project 1 Value Inc: Concatenating variables and working with iloc (26:42)
- Project 1 Value Inc: Using functions like Split, Replace, Merge, Drop and Lower on Python (34:47)
- Project 1 Value Inc: Running our Full Script (2:40)
- Project 2 Blue Bank: Working with JSON data (38:20)
- Project 2 Blue Bank: Working with Arrays (18:28)
- Project 2 Blue Bank: If Statements and For Loops (50:33)
- Project 2 Blue Bank: Try and Except and Plots (31:15)
- Project 2 Blue Bank: Running final script (0:54)
- Project 3 BlogMe: Group by and Aggregates (23:26)
- Project 3 BlogMe: Functions in Python (44:24)
- Project 3 BlogMe: Classes in Python (18:41)
- Project 3 BlogMe: Sentiment Analysis in Python (32:11)
- Project 1 Value Inc: Introduction to Tableau Public (3:49)
- Project 1 Value Inc: Reviewing what we will be building (3:02)
- Project 1 Value Inc: Connecting to the Data Source (14:22)
- Project 1 Value Inc: Creating a Line Chart (17:53)
- Project 1 Value Inc: Creating Bar Charts (19:40)
- Project 1 Value Inc: Creating Maps and Headline Cards (20:56)
- Project 1 Value Inc: Dashboards on Tableau (21:32)
- Project 2 Blue Bank: What we will be building (1:43)
- Project 2 Blue Bank: Connecting to the Data (6:38)
- Project 2 Blue Bank: Building Charts Part 1 (20:42)
- Project 2 Blue Bank: Building Charts Part 2 (23:35)
- Project 2 Blue Bank: Building the Dashboard and Publishing (22:10)
- Project 3 BlogMe: Reviewing what we will be building (1:09)
- Project 3 BlogMe: Connecting to the Data (13:04)
- Project 3 BlogMe: Building Charts Part 1 (25:51)
- Project 3 BlogMe: Building Charts Part 2 (5:43)
- Project 3 BlogMe: Building the Dashboard (14:35)