The best Online Courses for Data Analysis with Python — TechParams

Data analysis is an in-demand and on growing skill in industries. In the last 20 years, there is a high pitch increase in technology and the data associated with it. There are more than 30 billion devices in the whole world connected with the internet and, this number is increasing day by day. All the data shared through these devices are stored somewhere and, these data help in knowing the rise and fall of services and technologies. This is where data analysis comes in handy. Customer demands satisfaction and, it comes with analyzing the data and satisfactorily molding the services. The scope in this field is vast. So, here are some data analysis with Python courses to help you out in your journey of becoming a data analyst:

1.Data Analysis with Python — Coursera

Check the course here: coursera.org/learn/data-analysis-with-python

Instructor: Joseph Santarcangelo

Offered by: IBM

Ratings: 4.7

Topics to be covered:

Level: Beginner

Time: Approx. 24 hours

Price: Paid

2.Become a Data Analyst — Udacity

Check the course here: udacity.com/course/data-analyst-nanodegree-nd002

Ratings: 4.6

Topics to be covered:

Time: Approx. 4 Months

Prerequisites: Python & SQL

Price: Paid

**NOTE: This is a nanodegree program.

3.Data Analysis with Pandas and Python — Udemy

udemy.com/course/data-analysis-with-pandas/

Created by Boris Paskhaver

Rating: 4.6

Topics to be covered:

• Installing Jupyter Notebook
• Dataframes — 1D, 2D, and 3D
• Merging, Joining, and Concatenating Data Frames
• Pandas for structuring data sets
• Matplotlib for data visualization
• Sorting, filtering, and grouping of data

Prerequisite: Python, data types, and MS Excel

Time: 20 hours 35 minutes

Price: Paid

4.Analyze data with Python — Codecademy

codecademy.com/learn/paths/analyze-data-with-python

Topics to be covered:

• Fundamentals of Python Programming Language
• NumPy library to organize large amounts of data and perform statistical calculations.
• Pandas for data manipulation and analysis
• Matplotlib for Data Visualization
• Statistics for Data Analysis using NumPy
• SciPy module for comparative statistics and Hypothesis Testing

Level: Beginner

Price: Paid

5.Intro to Data Analysis — Udacity

udacity.com/course/intro-to-data-analysis-ud170

Topics to be covered:

• Wrangling your data into a format that you can use and fixing any problems with it.
• Matplotlib to write code that is cleaner, more concise, and runs faster.
• 1D and 2D data frames.
• Vectorized operations on 1D data frames.
• Grouping of data.
• Python libraries like NumPy and Pandas to go through the data analysis process

Time: Approx. 6 Weeks

Level: Beginner

Price: Free

6.Learning Python for Data Analysis and Visualization — Udemy

udemy.com/course/learning-python-for-data-analysis-and-visualization/

Created by Jose Portilla

Ratings: 4.3

Topics to be covered:

Prerequisite: Python and Mathematics

Time: 21 hours 5 minutes

Price: Paid

7.Data Analysis with Python — Full Course for Beginners (Numpy, Pandas, Matplotlib, Seaborn) — Youtube

youtube.com/watch?v=r-uOLxNrNk8

Topics to be covered:

Price: Free

As you can see, that the python is a core programming language to become a data analyst, so here are python courses that you can opt for advancing your skills in python: https://techparams.com/these-are-5-best-online-python-courses-for-beginners/

Originally published at https://techparams.com on September 11, 2020.