Course Provider
What will you learn in this course?
In this course you will learn about:
- Data Acquisition
- How to Obtain Basic Insight from a Dataset
- Data Wrangling
- Exploratory Data Analysis
- Model Development
- Model Evaluation
Data Analysis with Python
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Skill Type
Emerging Tech
- Domain
AI/BDA
- Course Category
Deepskilling Course
- Certificate Earned Joint Co-Branded Participation Certificate
- Nasscom Assessment Available
- Course Covered under GoI Incentive
Yes
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- Course Price
INR 2,999
- Course Duration
9 Hours
- Course Price
Why should you take this course?
This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more!
Who should take this course?
This course is designed for everyone who wants to learn how to analyze data using Python. You do not need programming experience for this. This course will take you from the very basics to exploring other advanced topics.
Curriculum
- Module 1 - Introduction Learning Objectives Understanding the Domain Understanding the Dataset Python package for data science Importing and Exporting Data in Python Basic Insights from Datasets
- Module 2 - Data Wrangling Identify and Handle Missing Values Data Formatting Data Normalization Sets Binning Indicator variables
- Module 3 - Exploratory Data Analysis Descriptive Statistics Basic of Grouping ANOVA Correlation 2
- Module 4 - Model Development Simple and Multiple Linear Regression Model Evaluation using Visualization Polynomial Regression and Pipelines R-squared and MSE for In-Sample Evaluation Prediction and Decision Making
- Module 5 - Working with Data in Python Model Evaluation Over Fitting, Under fitting and Model Selection Ridge Regression Grid Search Model Refinement
- Exam
Tools you will learn in the course
Jupyter Notebook
FAQs
Data is an essential part of any enterprise or business. It is critical to collect, process, and analyze data flow in a timely and accurate manner to discover information useful for decision making in business. The data science industry is rapidly expanding. Data volume can be large, making information handling difficult and time-consuming. Python is a popular programming language in scientific computing because it has many data-oriented feature packages that can speed up and simplify data processing, thus saving time. This article will focus on the distinct features of the Python programming language and what makes it a better choice for data analysis.