Certificate in Python for Data Science

Offered byeCornell

Certificate in Python for Data Science
at
eCornell
Overview

Empowering Data Science Mastery through Comprehensive Certificate Program for Enhanced Analytical Competence and Professional Growth

Duration	5 months
Start from	4 days to go
Total fee	₹3.31 Lakh
Mode of learning	Online
Official Website	Go to Website
Credential	Certificate

Certificate in Python for Data Science
at
eCornell
Highlights

Earn a certificate after completion of course
Learn from expert faculty
Apply learnings and insights to your work to make an impact right away
Learn on your schedule without stepping out of your job

Certificate in Python for Data Science
at
eCornell
Course details

Skills you will learn

Python Data visualization Data analysis Data Science

Who should do this course?

Data analysts and business analysts

Database managers

Technical and systems analysts

Programmers interested in data science

Marketers

Business managers

What are the course deliverables?

Visualize data with Python

Write custom functions and data classes in Python that can be stored for reuse

Use key elements of Python control flow and iteration

Use Jupyter Notebooks to integrate data analysis, visualization, and documentation

Manipulate data arrays and tables using NumPy and Pandas

Filter, integrate, and prepare data for analysis

Perform statistical data analysis and visualization

Explore datasets with machine learning

More about this course

In this program, you will master the ability to analyze and visualize data in meaningful ways using Python to help solve complex business problems

Working with tools such as Jupyter Notebooks, NumPy, and Pandas, you will have the opportunity to analyze real-world datasets to identify patterns and relationships in data

You will gain experience using both built-in and custom-built data types to create expressive and computationally robust data science projects

Certificate in Python for Data Science
at
eCornell
Curriculum

Constructing Expressions in Python

In this course, you will construct expressions and reuse them to manipulate and compute variables in a variety of applications

You will develop the knowledge and skills to assign and access variables, combine variables and data in expressions, and leverage Python as a powerful calculator

Writing Custom Python Functions, Classes, and Workflows

This course introduces you to the different scenarios in which you will utilize built-in Python functions, classes, and data types as opposed to creating your own or using a combination of built-in and custom-built capabilities

Developing Data Science Applications

In this course, you will leverage the comprehensive Python ecosystem of libraries, frameworks, and tools to develop complex data science applications

Creating Data Arrays and Tables in Python

This course introduces data manipulation and visualization, both critical components of any data science project

This course introduces two commonly used data manipulation tools in the Python ecosystem: NumPy and Pandas

Organizing Data with Python

This course will give you experience identifying and integrating data from spreadsheets, text files, websites, and databases

You will utilize existing packages and develop your own code to read data from a variety of sources

Analyzing and Visualizing Data with Python

This course introduces using Python to perform statistical data analysis and create visualizations that uncover patterns in your data

You will form and test hypotheses about your data which will become the foundation upon which data-driven decision-making is built

Building Predictive Machine Learning Models