Ementorhub

What you'll learn

Examine the interplay between business principles and data analytics.

Build a foundation in data analytics by installing and using a data analytics language, an integrated development environment (IDE), and key modules.

Manipulate the most commonly used data types using functions.

Develop efficient, easy-to-read approaches for assembling and processing data for analysis.

Skills you'll gain

Data Transformation

Tidyverse (R Package)

R Programming

Statistical Programming

Technical Communication

Data Wrangling

Data Processing

Business Analytics

Business Intelligence

Data Presentation

Data Import/Export

Data Analysis

Data Manipulation

There are 4 modules in this course

In this course you will use Python, a widely adopted data analytics language, to efficiently prepare business data for analytic tools such as algorithms and visualizations. Cleaning, transforming, aggregating, and reshaping data is a critical, but inconspicuous step in the business analytic workflow. As you learn how to use Python to prepare data for analysis, you will gain experience using integrated development environments (IDEs) that simplify coding, support data exploration, and help you share results effectively. As you learn about the business analytics workflow you will also consider the interplay between business principles and data analytics. Specifically, you will explore how delegation, control, and feasibility influence the way in which data is processed. You will also be introduced to examples of business problems that can be solved with data automation and analytics, and methods for communicating data analytic results that do not require copying and pasting from one platform to another.

Module 2: How Do I Get to Know My Data and Share It With Others?

Module 3: How Can I Use Functions to Help with Data Preparation?

Module 4: How Do I Preprocess Data?