Applied Data Analytics with Python and SQL

Overview

Unlock the power of Applied Data Analytics with Python and SQL, gaining hands-on experience in data manipulation, querying, and analysis. This course will teach you how to efficiently use Python for processing and analyzing data, while leveraging SQL to manage and query databases. You'll develop the skills needed to extract meaningful insights and apply data-driven solutions to real-world challenges, preparing you to make informed decisions in any industry. 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!

Syllabus

Python Essentials

This module is designed to help learners take a significant step towards launching their careers in data analytics. In the first week, we'll explore how Python programming concepts that are essential for creating efficient programs. Additionally, we'll delve into the role of pre-defined Python features in data analysis. Let's get started!

Exploring Data with NumPy and Pandas

During week two of the course, Learners will be taught how to handle data with NumPy and Pandas in various formats while developing skills to represent data visually using different types of charts and graphics.

Web Scraping and SQL

In this module, learners will explore methods for gathering information from various sources on the internet. They will utilize different Python libraries to process and organize the data for thorough evaluation, as well as connect MS SQL Server with Python.

Course Wrap-Up and Assessment

This module is designed to assess an individual on the various concepts and teachings covered in this course. Evaluate your knowledge with a comprehensive graded quiz on Python programming concepts, Data manipulation with NumPy and Pandas with Web-Scraping with Python