- 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
Beginner
Online
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 14 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. The fee will range from Rs. 2999 - Rs. 8999.
Data Analysis with Python Programme Fees Details
Programme Details | Amount |
1 Month | Rs. 3,184 |
3 Months | Rs. 6,369 |
6 Months | Rs. 9,554 |
certificate availability
certificate providing authority
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
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
Who it is for
The candidates who wish that their career progresses towards being a data analyst should think of pursuing the course.
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
The syllabus
Week 1: Importing Datasets
Videos
Reading
Lesson Summary
Practice exercises
- Practice Quiz: Understanding the Data6m
- Practice Quiz: Python Packages for Data Science
- Practice Quiz: Importing and Exporting Data in Python
- Practice Quiz: Getting Started Analyzing Data in Python
- Graded Quiz: Importing Datasets
Week 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
Practice exercises
- Practice Quiz: Dealing with Missing Values in Python
- Practice Quiz: Data Formatting in Python
- Practice Quiz: Data Normalization in Python
- Practice Quiz: Turning categorical variables into quantitative variables in Python
- Graded Quiz: Data Wrangling
Week 3: Exploratory Data Analysis
Videos
- Exploratory Data Analysis
- Descriptive Statistics
- GroupBy in Python
- Correlation
- Correlation - Statistics
- Association between two categorical variables: Chi-Square
Reading
Lesson Summary
Practice exercises
- Practice Quiz: Descriptive Statistics
- Practice Quiz: GroupBy in Python
- Correlation
- Practice Quiz: Correlation - Statistics
- Graded Quiz: Exploratory Data Analysis
Week 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
Practice exercises
- Practice Quiz: Linear Regression and Multiple Linear Regression
- Practice Quiz: Model Evaluation using Visualization
- Practice Quiz: Polynomial Regression and Pipelines
- Practice Quiz: Measures for In-Sample Evaluation3m
- Graded Quiz: Model Development
Week 5: Model Evaluation
Videos
- Model Evaluation and Refinement
- Overfitting, Underfitting and Model Selection
- Ridge Regression
- Grid Search
Readings
- Ridge Regression Introduction
- Lesson Summary
Practice exercises
- Practice Quiz: Model Evaluation
- Practice Quiz: Overfitting, Underfitting and Model Selection
- Practice Quiz: Ridge Regression
- Graded Quiz: Model Refinement
Week 6: Final Assignment
Readings
- Project Case Scenario
- IBM Digital Badge
- Course Creators
Practice exercise
Final Exam
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
Data Scientist
IBM
Ph.D
FAQs
The candidates will gain knowledge on different courses namely, Data Analysis, Python Programming, Data Visualization, Predictive Modelling and Model Selection.
The candidate needs to invest and dedicate 14 hours approximately to complete the programme
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.
The Data Analysis with Python Programme is being offered by IBM.
The Data Analysis with Python Programme certification will be conducted and delivered via videos, recorded content, assignments, labs, exercises, etc.
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