Ementorhub

What you'll learn

Write Python programs using core concepts like variables, data types, and control flow.

Implement NumPy and Pandas to analyze and process large datasets efficiently and accurately.

Create insightful data visualizations with Matplotlib, Seaborn, and Plotly for effective reporting.

Execute SQL queries to retrieve, manage, and analyze data from relational databases accurately.

Skills you'll gain

Data Literacy

Pandas (Python Package)

Data Analysis

Data Manipulation

Microsoft SQL Servers

Data Visualization Software

Databases

SQL

Python Programming

Data Processing

Scripting Languages

Scripting

NumPy

Programming Principles

Data Cleansing

Database Management

Web Scraping

There are 4 modules in this course

By the end of this course, you’ll be able to: - Categorize Python tokens and different data types used in Python. - Implement conditional statements to control the flow of execution in Python programs. - Leverage Pandas and NumPy for effective data manipulation, cleaning, and analysis. - Explore and apply SQL to retrieve and manage data in relational databases. This course is designed for beginners, data enthusiasts, and aspiring data scientists who want to build a strong foundation in Python programming and modeling data. No prior programming experience is required, although familiarity with the basics of RDBMS and programming concepts will be helpful. Join us to start your journey into data analysis and programming with Python!

Exploring Data with NumPy and Pandas

Web Scraping and SQL

Course Wrap-Up and Assessment