Applied Data Analytics with Python and SQL

Move beyond spreadsheets and learn to perform scalable, reproducible analysis using Python. This course covers advanced SQL, data wrangling with Pandas, statistical testing, and automating data workflows.

Course Curriculum

Applied Data Analytics with Python and SQL

Duration:04 Weeks

Level:Intermediate

Instructor:quantivo academy

What You'll Learn

Write advanced SQL queries to extract and manipulate complex datasets.
Automate data cleaning and reporting tasks using Python scripts.
Perform a comprehensive exploratory data analysis using Pandas and NumPy.
Design, execute, and interpret the results of an A/B test.
Create a portfolio project that demonstrates advanced analytical capabilities.

Applied Data Analytics with Python and SQL

Course Curriculum

Module 1: Advanced SQL for Data Analysis

Module 2: Python for Data Analysis Environment

Module 3: In-Depth Data Wrangling with Pandas

Module 4: Exploratory Data Analysis (EDA)

Module 5: Data Visualization with Matplotlib & Seaborn

Module 6: Foundations of Statistical Inference

Module 7: A/B Testing and Experimentation

Module 8: Automating Data Workflows

Module 9: Capstone Project

What You'll Learn