Data Analytics Using Python

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$12

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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.

Careervira Take

Future Learn offers this online certification program to help learners develop the fundamental Python programming knowledge and skills required to complete advanced analytics. The course aims to help learners with existing programming capabilities enter the data analytics field. Moreover, it is achieved by teaching Python, advanced data analytics, data wrangling, descriptive statistics, and fundamental statistics skills. There are no particular prerequisites to join this data analytics course, but it is recommended to have prior knowledge or experience working with data statistics using spreadsheets. The key USP of this program is international faculty.

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Course Credibility

The completion of the course renders a certification from a leading e-learning platform Future Learn, one of ...
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Pedagogy

This ExpertTrack teaches how to develop & use vital elements of Python and demonstrate data ingestion using P...
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Hands-on training

This ExpertTrack teaches how to develop & use vital elements of Python and demonstrate data ingestion using P...
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Career impact

This self-paced course offers no job assistance, placement guarantee, internship assistance or assurance. How...
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Pricing

It is offered without any cost, just that candidates have to pay a monthly subscription fee of $39 (₹2,925) t...
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Assessment

Assessments ensure that working professionals attending this course are engaged throughout the learning path....

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

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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

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During the ExpertTrack well be using Jupyter notebook

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We recommend you use a computer to access these elements

What You Will Learn

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Compare data analytics and advanced data analytics

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Develop and utilise critical elements of programming language, Python

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

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

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

Target Students

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

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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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$12

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