Ementorhub

What you'll learn

Apply basic data science techniques using Python

Understand and apply core concepts like Data Frames and joining data, and use data analysis libraries like pandas, numpy, and matplotlib

Demonstrate how to load, inspect, and query real-world data, and answer basic questions about that data

Analyze data further by applying learned skills in data aggregation and summarization, as well as basic data visualization

Skills you'll gain

Pandas (Python Package)

Pivot Tables And Charts

NumPy

Data Structures

Data Analysis

Data Transformation

Matplotlib

Data Cleansing

Histogram

Data Manipulation

Data Validation

Data Visualization Software

Programming Principles

Data Import/Export

Jupyter

Scatter Plots

Scripting Languages

There are 3 modules in this course

This course provides an introduction to basic data science techniques using Python. Students are introduced to core concepts like Data Frames and joining data, and learn how to use data analysis libraries like pandas, numpy, and matplotlib. This course provides an overview of loading, inspecting, and querying real-world data, and how to answer basic questions about that data. Students will gain skills in data aggregation and summarization, as well as basic data visualization.

Module 2 : Loading, Querying, Joining & Filtering Data Using pandas

Module 3 : Summarizing & Visualizing Data