Data Analytics and Python Fundamentals

via

Future Learn

Course Features

Duration

4 weeks

Delivery Method

Online

Available on

Lifetime Access

Accessibility

Mobile, Desktop

Language

English

Subtitles

English

Level

Intermediate

Effort

4 hours per week

Teaching Type

Self Paced

Course Description

Are you looking to increase the value of your organization's data? First, organize and structure it for analysis. Data analysts will need to use databases and other technologies in order to efficiently collect, organize and manipulate the data.

This course will teach you how to use Python programming language to analyze data and perform data modelling.

This course will compare advanced and data analytics. It will also discuss the basics of statistics and how it is applied in data analytics.

You will learn many different techniques to manipulate data. Your approach can be adjusted to suit your subject, circumstance, and time.

Additionally, you will learn Python to support data wrangling.

You'll be able to apply for jobs in a variety of industries by consolidating your knowledge through real-world examples and theory.

This course will enhance your understanding of data analysis and help you to build your Python skills.

After completing ExpertTrack, your knowledge and confidence will allow you to use your skills in a real-world setting.

You can see some of the steps in this course before you sign up.

Course Overview

Alumni Network

International Faculty

Post Course Interactions

Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

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

What You Will Learn

Compare data analytics and advanced data analytics

Create and use functions in Python

Define loops, conditional logic, various data structures and collections in Python

Discuss fundamentals of statistics and its application in data analytics

Target Students

Business analysts or junior data analysts looking to develop their advanced data analytics skills and programming capabilities to achieve career progression within data analytics

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

Those with existing programming capabilities looking to start a career in data analytics

Course Content

Expand all sections

Module 1: Introduction to data analytics using Python

Module 2: Statistics

Module 3: Introduction to Python programming

Module 4: Data structures, sequences and functions

Course Instructors

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.