- Learning Objectives
- Understanding the Domain
- Understanding the Dataset
- Python package for data science
- Importing and Exporting Data in Python
- Basic Insights from Datasets
Analyzing Data with Python
Quick Facts
particular | details | ||||
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Medium of instructions
English
|
Mode of learning
Self study
|
Mode of Delivery
Video and Text Based
|
Learning efforts
2-4 Hours Per Week
|
Course overview
Analyzing Data with Python certification course is designed by IBM and taught by Joseph Santarcangelo - PhD., Data Scientist at IBM, which is delivered by edX, which is targeted at the students looking for a comprehensive learning environment that could assist in their mastery of the concepts and methods required to develop the skills necessary for analyzing data with the Python programming language. Students who are interested in enrolling in the Analyzing Data with Python online classes by IBM and edX should be familiar with the fundamentals of programming in Python.
Analyzing Data with Python online training is a 5-week learning program that includes approximately 20 hours of extensive video-based materials that cover topics such as data loading, data manipulation, data preparation, data cleaning, linear regression, data visualization, ridge regression, polynomial regression, and machine learning models. Students who successfully finish the verified version of this program will also receive a skill badge that validates their knowledge and skills. This self-paced programme free course and they learners can upgrade it to the verified mode and get certification by paying the course fee.
The highlights
- Shareable certificate of completion
- Self-paced course
- 2-4 hours of effort per week
- 5-week program
- 100% online content
Program offerings
- English video lectures with subtitles
- 100% online content
- Learning resources
- Graded assignments
- Accessible on mobile devices
Course and certificate fees
Type of course
Free
certificate availability
Yes
certificate providing authority
IBM
certificate fees
₹8,284
Who it is for
What you will learn
After completing the Analyzing Data with Python online certification, students will develop an in-depth understanding of the functionalities of python programming for data analysis and statistical operations. Students will explore the fundamentals of data sets, and data frames as well as will acquire the knowledge of the strategies involved with concepts like grouping, data cleaning, data preparation, data normalization, data loading, data visualization, and data manipulation using the features of Pandas, Numpy, SciPy, and ANOVA. Students will learn about machine learning models for making decisions as well as will acquire the knowledge of the methodologies involved with model evaluation, model development, ridge regression, polynomial regressions, and linear regression.
The syllabus
Module 1 - Importing Datasets
Module 2 - Cleaning and Preparing the Data
- Identify and Handle Missing Values
- Data Formatting
- Data Normalization Sets
- Binning
- Indicator variables
Module 3 - Summarizing the Data Frame
- Descriptive Statistics
- Basic of Grouping
- ANOVA
- Correlation
- More on Correlation
Module 4 - Model Development
- Simple and Multiple Linear Regression
- Model EvaluationUsingVisualization
- Polynomial Regression and Pipelines
- R-squared and MSE for In-Sample Evaluation
- Prediction and Decision Making
Module 5 - Model Evaluation
- Model Evaluation
- Over-fitting, Under-fitting and Model Selection
- Ridge Regression
- Grid Search
- Model Refinement
Instructors
Articles
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