Data Analysis with Python

BY
IBM via Coursera

Learn the skills and expertise required to analyse Data with the Python by pursuing the Data Analysis with Python by Coursera.

Lavel

Intermediate

Mode

Online

Duration

6 Weeks

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study
Mode of Delivery Video and Text Based

Course overview

Offered by IBM, the Data Analysis with Python Programme certification course is a certification programme which is conducted by one of the leading and pioneering skill-based training academy namely, Coursera. By undertaking this programme, the candidate will specialise and learn the art of analysing the data with the help of Python. During the course, the candidates will be able to master and gain knowledge on different skills namely, Data Analysis, Model Selection, Data Visualization, Python Programming and Predictive Modelling. 

The candidates will seek a detailed understanding about skills used in data analysis namely, Scipy, Numpy and Pandas libraries. This programme being a 100% online programme will give ease and convenience for professionals to pursue it. A shareable certificate will also be given in the end post successfully completing the programme. This certificate can be easily viewed, printed and shared on LinkedIn as well. Moreover, this programme Data Analysis with Python training  will act as a foundation or basis for professionals to pursue different programmes post completion of this one. 

The highlights

  • Dedicated 15 hours programme
  • Offered by IBM
  • Shareable certificate
  • Available in different language subtitles 
  • Access to 7 Day free trial programme 
  • Applying for a Financial Aid is possible

Program offerings

  • Lectures
  • Assignments
  • Readings
  • Videos
  • Exercises
  • Lab.

Course and certificate fees

The Data Analysis with Python certification fee depends upon the monthly schedule the participants choose. 

Data Analysis with Python Programme Fees Details

Certification 

Fee Amount in INR

Data Analysis with Python (Audit)

Free

Data Analysis with Python - 1 month

Rs.4,115 /- per month

Data Analysis with Python - 3 months

Rs.2,743 /- per month

Data Analysis with Python- 6 months

Rs.2,058 /- per month
certificate availability

Yes

certificate providing authority

Coursera

Who it is for

The candidates who wish that their career progresses towards being a data analyst should think of pursuing the course.

Eligibility criteria

Certification Qualifying Details 

The candidates will get the Data Analysis with Python certification by IBM and Coursera only if they complete the programme properly. Also once the certificate is received, they can readily find it in the Accomplishment section. This certificate can be read, viewed and shared ahead.

What you will learn

Knowledge of python Data science knowledge Predictive modeling knowledge Knowledge of data visualization

When the Data Analysis with Python certification syllabus ends, candidates will be able to apply the knowledge in real scenarios. The diversified learnings are given below:

  • The beginner level programme ideally prepares and strengthens the base of the candidates 
  • The knowledge gained throughout the course can make it easy for candidates to pursue advanced-level programme
  • The complexities coming in business or day to day work can be easily handled and resolved
  • The skills that a candidate will master are Data Analysis, Model Selection, Data Visualization, Predictive Modelling, etc 

The syllabus

Module 1: Importing Datasets

Videos
  • Course Introduction
  • Understanding the Data
  • Python Packages for Data Science
  • Importing and Exporting Data in Python
  • Getting Started Analyzing Data in Python
  • Accessing Databases with Python
Reading
  • Lesson Summary

Assignments
  • Graded Quiz: Importing Data Sets
  • Practice Quiz: Importing Data Sets
App items
  • Lab: Importing Data Sets - Used Cars Pricing
  • Lab: Importing Datasets - Laptop Pricing
Plugins
  • Overview: Laptop Pricing Data Set
  • Module 1 Cheat Sheet: Importing Data Sets

Module 2: Data Wrangling

Videos
  • 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
reading
  • Lesson Summary
Assignments
  • Graded Quiz: Data Wrangling
  • Practice Quiz: Data Wrangling
App items
  • Lab: Data Wrangling - Used Cars Pricing
  • Lab: Data Wrangling - Laptop Pricing
plugin
  • Cheat Sheet: Data Wrangling

Module 3: Exploratory Data Analysis

videos
  • Exploratory Data Analysis
  • Descriptive Statistics
  • GroupBy in Python
  • Correlation
  • Correlation - Statistics
reading
  • Lesson Summary
assignments
  • Graded Quiz: Exploratory Data Analysis
  • Practice Quiz: Exploratory Data Analysis
app items
  • Lab: Exploratory Data Analysis - Used Car Pricing
  • Lab: Exploratory Data Analysis - Laptop Pricing
plugins
  • Creating Different Types of Plots in Python
  • Chi-Square Test for Categorical Variables
  • Module 3 Cheat Sheet: Exploratory Data Analysis

Module 4: Model Development

videos
  • 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
reading
  • Lesson Summary
assignments
  • Graded Quiz: Model Development
  • Practice Quiz: Model Development
app items
  • Lab: Model Development - Used Car Pricing
  • Lab: Model Development - Laptop Pricing
plugin
  • Cheat Sheet: Model Development

Module 4: Model Evaluation and Refinement

videos
  • Model Evaluation and Refinement
  • Overfitting, Underfitting and Model Selection
  • Ridge Regression
  • Grid Search
reading
  • Lesson Summary
assignments
  • Graded Quiz: Model Evaluation and Refinement
  • Practice Quiz: Model Evaluation and Refinement 
app items
  • Lab: Model Evaluation and Refinement - Used Cars Pricing
  • Lab: Model Evaluation and Refinement - Laptop Pricing
plugins
  • Introduction to Ridge Regression
  • Module 5 Cheat Sheet: Model Evaluation and Refinement

Module 5: Final Assessment

readings
  • Final Project Scenario
  • Cheat Sheet: Data Analysis for Python
  • IBM Digital Badge
  • Congratulations and Next Steps
  • Thanks from the Course Team
assignment
  • Final Exam
peer review
  • Submit your Project and Review Others
app items
  • Practice Project - Data Analytics for Insurance Cost Data Set
  • Lab for Final Project - Data Analytics for House Pricing Data Set
plugin
  • Practice Project Overview

Admission details

Participants need to follow a set Data Analysis with Python classes admission process which is given as under:

Step 1: Candidates need to click on the weblink of the programme https://www.coursera.org/learn/data-analysis-with-python

Step 2: Once the candidate clicks it, a ‘Enrol for Free’ tab will appear which needs to be clicked. 

Step 3: Sign up with the help of your login id via Google or Facebook. 

Step 4: Thereafter you will be registered and gain an access to a 7 days free trial programme

Scholarship Details

Right now, there are no options for Scholarships. But if it is difficult for candidates to afford the fees of the programme then they can avail Financial Aid. They can enrol for it from the Financial Aid Section.

How it helps

The Data Analysis with Python certification benefits may be explored below:

This 7-day free trial programme namely Data Analysis with Python Programme is one of the most sought-after programmes for professionals who are new to Python language. The programme will enable candidates in gaining professional benefits post completing this programme. The candidate can add the certificate on the profile and then expect a good response from the job recruiters. By staying abreast with all the latest skills such as Model Selection, Python Programming, Predictive Modelling and many others, candidates will get prepared to appear and pursue advanced level programmes. In addition to this, the candidates will always have an advantage over other professionals in their field who have not pursued this certificate. There are also bright chances for bagging a higher position in an existing company or diverting and applying in other competitor companies too. 

Instructors

Mr Joseph Santarcangelo

Mr Joseph Santarcangelo
Data Scientist
IBM

Ph.D

FAQs

What are the different skills that I will learn post completion of course?

The candidates will gain knowledge on different courses namely, Data Analysis, Python Programming, Data Visualization, Predictive Modelling and Model Selection. 

How much time do I need to dedicate in order to complete this Data Analysis with Python online course?

The candidate needs to invest and dedicate 15 hours approximately to complete the programme 

In case I want a refund, will I get it?

Since candidates are already given an option to go for the 7-day free trial, they will not be entitled to get a refund once payment is made.

Who is offering this programme?

The Data Analysis with Python Programme is being offered by IBM. 

How will the programme be offered?

The Data Analysis with Python Programme certification will be conducted and delivered via videos, recorded content, assignments, labs, exercises, etc. 

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