Who is this course for?
If you're someone who wants to make data-driven decisions or work with various types of data to conduct analyses, or is interested in becoming a data analyst, this program is ideal for you because you'll learn applied statistics, data wrangling with Python, and data visualization with Matplotlib, which will enable you to work with any data set and find and showcase meaningful insights. This will qualify you for roles such as a Data Analyst and Analytics Consultant. You'll need to have some experience with python and pandas to succeed in this program.
Introduction to Data Analysis
Learn the data analysis process of wrangling, exploring, analyzing, and communicating data. Work with data in Python, using libraries like NumPy and Pandas.
Explore Weather Trends
Investigate A Dataset
Learn how to apply inferential statistics and probability to real-world scenarios, such as analyzing A/B tests and building supervised learning models.
Analyze Experiment Results
Learn the data wrangling process of gathering, assessing, and cleaning data. Learn to use Python to wrangle data programmatically and prepare it for analysis.
Wrangle & Analyze Data
Data Visualization with Python
Learn to apply visualization principles to the data analysis process. Explore data visually at multiple levels to find insights and create a compelling story.
Communicate Data Findings
Real-world projects from industry experts
Technical mentor support
Flexible learning program
Estimated time of 4 Months At 10 hrs per week
Josh Bernhard, Sebastian Thrun, Derek Steer, Juno Lee, Mike Yi, David Venturi, Sam Nelson
|Scheduled Class Batches?||
Self-paced Online Classes
|Techinical or Skill Pre-requisites||
In order to succeed in this program, we recommend having experience working with data in Python (specifically NumPy and Pandas) and SQL. This includes:
1. Python standard libraries
For this Nanodegree program, you will need access to the Internet, and a 64-bit computer.
Additional software such as Python and its common data analysis libraries (e.g., NumPy and Pandas) will be required, but the program will guide students on how to download these once the course has begun.
Monthly Access – Pay as you go: $399 per month
|Related Job Positions||
Data Analyst, Analytics Consultant, Product Manager, and Management Consultant.