Udacity – Become a Data Analyst 2018-12 – Download

Explanation

Become a Data Analyst This program prepares students for a career as a data analyst by helping them learn to organize data, discover patterns and ideas, draw meaningful conclusions, and clearly communicate key findings. Students will develop knowledge of Python and data analysis libraries (Numpy, pandas, Matplotlib) and SQL as they build portfolios of projects to present to job seekers. Depending on how quickly students are working on the material, the amount of time needed is variable. We have included an hourly estimate for each part of the program.

The program covers one term of three months (about 13 weeks). If students spend approximately 10 hours a week working on the program, they should complete the course within 13 weeks. Students will have four additional weeks after the end of term to complete all projects. To be successful in this program, we recommend that you have experience working with data in Python (Numpy and Pandas) and SQL.

What will you learn?

Who is this course for?

If You are someone who wants to make data decisions or work with different types of data to make analysis, or interested in becoming a data analyst, this program is perfect for you, because you will learn applied statistics, data fight Python. , and Matplotlib’s data visualization, which will enable you to work with any data set and get and display meaningful views.

Specialize in Becoming a Data Analyst

The Essence of Becoming a Data Analyst

# Welcome to Term 1!
#introduction to Python
#Introduction to Data Analysis
# Performance Statistics
#Congratulations and Next Steps
#Welcome to Term 2!
# Analysis of Survey Data
# Multiplication of Data
# Story Information
#Congratulations and Next Steps
# (Selected) How to use Git and GitHub
# (Selected) Skill: GitHub Profile Review
# (Selected) Skill: Networking
# (Selected) Skill: Job Search Strategies
# (Selected) Career: Data Analyst Interview Practice
# (Selected) Introduction to Machine Learning
# Matrix Math (Selected) and Critical Update
# (Selected) (New) Introduction to Python
# (Selected) Introduction to Python