Ementorhub

Intro to Data Analytics, SQL, and EDA Using Python

This course is part of How to Use Data Specialization

Instructor: Brandon Krakowsky

What you'll learn

Classifying and analyzing data.

Executing SQL queries to work with data.

Using Python and pandas library to manipulate and explore data.

Skills you'll gain

Data Management

Data Visualization Software

Seaborn

Data Storage

Data Analysis

SQL

Data Science

NumPy

Data Cleansing

Big Data

Relational Databases

Data Manipulation

Analytics

Pandas (Python Package)

Exploratory Data Analysis

Database Management

There are 3 modules in this course

its different types, what big data looks like, and how companies are using it. It also explores the fields of data analysis and data science and how the two come together. To help form the field of data analytics, we'll look at the entire data analytics process and how it works, from defining the analytics problem to interpreting and presenting the results. We'll also look at some case studies, which are presented to illustrate the application of data analytics in real-world scenarios.

Module 2: Introduction to Data Wrangling and SQL

Module 3: Exploratory Data Analysis (EDA) Using Python

Explore more from Data Analysis

Applied Data Analytics with Python and SQL

Fundamentals of Big Data

Business Analytics

Data-driven Decision Making