IBM - Data Analysis with Python

4.6 /5

(51 Ratings)

Offered byCoursera

Data Analysis with Python
at
Coursera
Overview

Duration	7 hours
Total fee	Free
Mode of learning	Online
Difficulty level	Beginner
Official Website	Explore Free Course
Credential	Certificate

Data Analysis with Python
at
Coursera
Highlights

Earn a Certificate of completion from IBM on successful course completion
Instructor - Joseph Santarcangelo
Learn how to analyze data using Python.
Earn a Certificate of completion from IBM on successful course completion

Data Analysis with Python
at
Coursera
Course details

Skills you will learn

Python Anova Data Science Statistics Data visualization Data analysis

Who should do this course?

This course is designed for those who want to learn the basics of Python and apply it in the real world.

What are the course deliverables?

If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge.

More about this course

This is one of the best courses to learn Data Analysis using Python on Coursera. This beginner-level course will take learners from the fundamentals of Python to exploring different types of data. Some of the major topics covered in this course include importing datasets, cleaning data, data frame manipulation, creating machine learning regression models, and building data pipelines
In this course, you will be taught by Joseph Santarcangelo, a Data Scientist at IBM. The instructor delivers the course through a variety of methods including lectures, labs, and assignments. This 15-hours course requires no prior experience to get started

Data Analysis with Python
at
Coursera
Curriculum

Week 1 - Importing Datasets

The Problem

Understanding the Data

Python Packages for Data Science

Importing and Exporting Data in Python

Getting Started Analyzing Data in Python

Accessing Databases with Python

Understanding the Data

Python Packages for Data Science

Importing and Exporting Data in Python

Getting Started Analyzing Data in Python

Importing Datasets

Week 2 - Data Wrangling

Pre-processing Data in Python

Dealing with Missing Values in Python

Data Formatting in Python

Data Normalization in Python

Binning in Python

Turning categorical variables into quantitative variables in Python

Model Development

Dealing with Missing Values in Python

Data Formatting in Python

Data Normalization in Python

Turning categorical variables into quantitative variables in Python

Data Wrangling

Week 3 - Exploratory Data Analysis

Exploratory Data Analysis

Descriptive Statistics

GroupBy in Python

Correlation

Correlation - Statistics

Analysis of Variance ANOVA

Descriptive Statistics

GroupBy in Python

Correlation

Correlation - Statistics

Exploratory Data Analysis

Week 4 - Model Development

Model Development

Linear Regression and Multiple Linear Regression

Model Evaluation using Visualization

Polynomial Regression and Pipelines

Measures for In-Sample Evaluation

Prediction and Decision Making

Model Development

Week 5 - Model Evaluation

Model Evaluation and Refinement

Overfitting, Underfitting and Model Selection

Ridge Regression

Grid Search

Quiz: Model Refinement

Week 6 - Final Assignment

Week 7 - IBM Digital Badge

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Data Analysis with Python
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Students Ratings & Reviews

4.6/5

51 Ratings

4-5
37
3-4
11
2-3
1
1-2
2

Aadesh Dabas

Data Analysis with Python

Offered by Coursera

Learning Experience: It contains various techniques for data visualization, manipulation and correlation etc. which are useful in data analysis

Faculty: Faculties were well educated and had all the knowledge you want to earn and use in data analysis All the course resources were updated and provide latest techniques which are used to analyse data.

Reviewed on 11 Feb 2023Read More

Anurag Rai

Data Analysis with Python

Offered by Coursera

Learning Experience: Good

Faculty: It was a self learn process Simplicity in understanding the data analysis process

Reviewed on 3 Feb 2023Read More

Shivam Datta Rajguru

Data Analysis with Python

Offered by Coursera

Learning Experience: It was great , I learned skills like analysis , library like pandas numpy , And solved various analytical assignment base on analytics

Reviewed on 21 Jan 2023Read More

Kiran Narayan Ahire

Data Analysis with Python

Offered by Coursera

Learning Experience: The course content is too good we can easily understand. In the course they cover's Machine learning, Basic statistics, Python, SQL Etc.

Faculty: Faculty members are very knowledgeable people's, recorded sessions also too good. Course curriyalso too good course resources are updated and assignments also too good.

Course Support: I learned so many things in the course.

Reviewed on 7 Jan 2023Read More

Nawaz sheriff G

Data Analysis with Python

Offered by Coursera

Learning Experience: Goood

Faculty: Tooo good its easy to learn

Course Support: Well getting good job calls

Reviewed on 2 Jan 2023Read More

View All 30 Reviews