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Career Transition into Analytics for Freshers

4.45
average rating

Ratings

Beginner

Level

3.0 Hrs

Learning hours

5K+
local_fire_department

Learners

Enrol free with email

Skills you will learn

Statistical concepts
Various profiles in Analytics
Analytics value creation
Analytics maturity model

About this Course

In recent times, data analytics is one of the most important sub-domains of Data Science. It involves looking through the data in a structured manner, statistically analysing and assessing patterns present in the data that can be used to gain meaningful insights about the same. The re is a steep learning curve associated with data analytics and it becomes important to simplify things down into easily understandable and bite-sized pieces. With that in mind, this course aims to give you the in-depth knowledge required to get you up to speed with Data Analytics. Use this as a guide to strengthen your understanding of the data analytics domain.

Why upskill with us?

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1000+ free courses
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Course Outline

What is Data Analytics?
Skills Required for Data Analytics
Statistical Concepts and skills
Facts about Analytics
Various Profiles in Analytics
Introduction to Analytics

In this module, you will learn about general analytics and its constitutions. You will also understand the importance of analytics for businesses and finance.

Analytics Value Creation
Analytics Maturity Model
Key Players in Analytics
Types of Data Analytics
Data Analytics Lifecycle
Job Roles in Data Science

Career Transition into Analytics for Freshers

4.45
average rating

Ratings

3.0 Hrs

Learning hours

Beginner

Level

5K+
local_fire_department

Learners

Enrol free with email
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