Data Analyst Career Path By Codecademy

Created By Codecademy.com

210 Comments

54 Reviews

Pathway
Time:
150 Hours (28 Weeks)
Language:
English
Location:
Global
Media Formats:

Text, Video

Cost:
35.99$ Monthly Plan, 17.99$ Monthly Annual Plan
Enrolled Students Count:
1736370
Dropped Out Students Count:
370
Completed Students Count:
173600
Job Placement Rate:
Unknown
Certificate:
Yes
Accredited By:

Not Accredited

Pacing Type:
Self-Paced
Type:
online
Learning Methodology:

Top down, Task based education, Self-paced education

Visit this Pathway

Data Analyst Career Path By Codecademy

The Data Analyst Career Path is designed for you to gain the technical skills, knowledge, resources, and confidence you need to get your start as a data analyst.After this Path, you will be able to:1.Create programs using Python 3 2.Move off of the Codecademy platform with the Command Line, Jupyter Notebook, Git, and GitHub Desktop 3.Acquire and query data with SQL and BeautifulSoup 4.Manipulate data using NumPy and pandas 5.Wrangle and tidy data with pandas 6.Develop expertise in Exploratory Data Analysis (EDA) 7.Summarize and analyze quantitative and categorical data with pandas 8.Implement many different hypothesis tests using Python 9.Visualize data using Matplotlib and seaborn 10.Communicate data analytics findings effectively 11.Work with aggregate functions, joins, and advanced queries in SQL 12.Apply SQL knowledge to common business and marketing problems

Features

Progress Tracking

The pathway tracks your progress as you go through the pathway

Built-in IDE

Test your code with the built-in Integrated Development Environment tool.

Focus Timer

Set a timer to stay focused and get more done.

Cheatsheet

Review some of the concepts you’ve been learning quickly

Community Forums

Discuss about your problem and get help from others

Chapters

Join a chapter & collaborate with fellow learners virtually or in-person

Inculde Quiz

This pathway contain some quizes

Inculde Project

This pathway contain some projects

Main Modules

1
Welcome to the Data Analyst Career Path
Start off with an overview of what you’ll cover in the Data Analyst Career Path, projects you’ll build, and resources you’ll benefit from.
2
Getting Started with Data Analytics
Get a preview of what you’ll cover in this unit, as well as resources to help you along the way!
3
Python Fundamentals
Learn how much you’ll cover in Python Fundamentals.
4
Python Portfolio Project
5
Data Acquisition
6
Data Manipulation with Pandas
7
Data Wrangling and Tidying
8
Summary Statistics
9
Hypothesis Testing
10
Data Visualization
11
Data Visualization Portfolio Project
12
Communicating Data Analysis Findings
13
Data Analysis Portfolio Project
14
SQL for Interview Prep
15
Analyze Real Data with SQL
16
Data Analyst Final Portfolio Project
17
Next Steps

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