Data Analytics Using Python

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Course Features

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Duration

12 weeks

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Delivery Method

Online

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Available on

Lifetime Access

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Accessibility

Mobile, Desktop

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Language

English

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Subtitles

English

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Level

Beginner

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Effort

4 hours per week

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Teaching Type

Self Paced

Course Description

Are you looking to learn Python and get started in advanced analytics? Data professionals must have strong quantitative skills, a deep understanding of the models and how they can help solve problems. Businesses increasingly rely on technology for complex mathematical calculations.

This ExpertTrack will assist you in your career as a data analyst using Python, a programming language that allows for you to quickly integrate systems and work efficiently.

To be useful, data must be organized and structured so that it can be analysed in order to draw conclusions.

This course will teach you how to organize and manipulate large quantities of data using databases and other technologies.

This course will show you how to use Python's most important elements and demonstrate data ingestion with Python and other data types.

This ExpertTrack will give you a deeper understanding of data analytics and foundational knowledge about Python.

Global big data is estimated to be worth more than $100 billion. It will almost double in 2025, providing many lucrative and rewarding career opportunities around the globe.

Data skills are needed in almost all industries. PWC says that there is a high demand for data-driven decisionmakers functional analysts, data engineers and data analysts in retail trade, finance, healthcare and manufacturing.

A combination of your knowledge in data analysis and your coding skills is another way to be noticed as a candidate. This will help you stand out from the crowd and improve your long-term career prospects.

Course Overview

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Alumni Network

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International Faculty

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Post Course Interactions

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Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

During the ExpertTrack well be using Jupyter notebook

There are no prerequisites to enrol on this data analytics course, but its recommended that you have some prior knowledge or experience working with data statistics, using spreadsheets

We recommend you use a computer to access these elements

What You Will Learn

Build and apply practical skill sets to complete data exploration and visualisation

Compare data analytics and advanced data analytics

Demonstrate data ingestion using Python and various data types and data sources

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

Develop and utilise critical elements of programming language, Python

Target Students

business analysts or junior data analysts looking to develop advanced data analytics skills and programming capabilities to advance in data analytics

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

Course Instructors

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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.
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