Data Wrangling and Ingestion using Python

Course Cover
compare button icon

Course Features

icon

Duration

4 weeks

icon

Delivery Method

Online

icon

Available on

Lifetime Access

icon

Accessibility

Mobile, Desktop

icon

Language

English

icon

Subtitles

English

icon

Level

Beginner

icon

Effort

4 hours per week

icon

Teaching Type

Self Paced

Course Description

This course is designed to help you improve your data analysis skills using Python. It is a follow-up to the Data Analytics Using Python ExpertTrack and aims to give you a deeper understanding of the potential of Python in data manipulation and analysis. Throughout the course, you will learn how to insulate data using Python, as well as how to show transformations in Python. The basics of SQL will also be covered, including how it can be used for various data analysis operations.

By the end of the course, you will be able to create database tables using the data definition language, add data records using the data manipulation language, and perform queries on database tables. You will also gain skills in data processing activities using data query and data manipulation languages.

If you are considering signing up for this course, you can preview some of the steps involved before committing. This course is ideal for anyone looking to enhance their data analysis skills and streamline their analysis process. A solid understanding of Python can greatly benefit your career and make your data manipulation and analysis much more efficient.

Overall, this course offers a comprehensive exploration of Python's role in data analytics and provides practical knowledge that can be applied immediately in your work. Whether you are new to Python or have some experience with it, this course will help you take your data analysis skills to the next level.

Course Overview

projects-img

Alumni Network

projects-img

International Faculty

projects-img

Post Course Interactions

projects-img

Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

During the ExpertTrack we’ll be using Jupyter notebook. We recommend you use a computer to access these elements

What You Will Learn

Demonstrate data wrangling, manipulation and transformation activities in Python

Create database tables using the data definition language and add data records using data manipulation language

Query the data stored in those database tables

Demonstrate various data processing activities using data query language and data manipulation language

Target Students

Business analysis or junior data analysts looking to develop advanced data analytics skills and programming capabilities to progress their careers in data analytics

Someone with existing programming capabilities looking to enter the data analytics field

An individual lacking the programming capabilities to conduct more advanced data analysis and modelling

Course Instructors

Author Image

Ed Marks

Instructor

I truly believe that leveraging the correct technologies in the appropriate way can take us towards a more sustainable economy. My focus is on converging M&E Engineering with Data Science/Analysis.
Course Cover