Certified Analytics Professional: Data

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Bismark Adomako

1:28:30

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1. Course Overview

1. Course Overview.mp4

01:40

2. Introduction to Analytics Problem Framing

1. Overview.mp4

00:53

2. Understanding the Business Problem.mp4

02:42

3. Framing Analytics Problems.mp4

02:44

4. Summary.mp4

01:16

3. Managing and Governing Data

1. Overview.mp4

00:53

2. Identifying and Prioritizing Data Needs and Resources.mp4

05:38

3. Demo - Identifying and Prioritizing Data Needs and Resources.mp4

03:29

4. Data Collection and Acquisition.mp4

04:48

5. Demo - Data Acquisition.mp4

03:06

6. Transforming and Validating Data.mp4

03:51

7. Demo - Transforming and Validating Data.mp4

09:17

8. Data Governance and Sharing.mp4

05:39

9. Summary.mp4

01:19

4. Analyzing Data

1. Overview.mp4

01:36

2. Understanding the Data.mp4

06:13

3. Demo - Understanding the Data.mp4

07:00

4. Identifying Relationships in Data.mp4

05:23

5. Demo - Identifying Relationships in Data.mp4

07:54

6. Documenting and Reporting Findings.mp4

04:26

7. Demo - Data Documentation in Practice.mp4

03:25

8. Refining the Problem Statements.mp4

02:39

9. Summary.mp4

02:39

Description

In this course, you'll learn to identify, collect, segment, and target customers using data analysis techniques from problem identification to boosting repeat purchases and driving revenue.

What You'll Learn?

Unlock the power of data! In this course, Certified Analytics Professional: Data, you’ll gain the ability to effectively segment and target customers by collecting, manipulating, and analyzing data.

First, you’ll explore how to identify and prioritize data needs and resources as well as means of collecting and acquiring data.

Next, you’ll discover how and why to harmonize, clean, validate, and discover relationships in data.

Finally, you’ll learn how to document and report findings, and use analysis results to refine business and analytics problem statements.

When you’re finished with this course, you’ll have the skills and knowledge of data analytics needed to effectively segment and target customers, increasing the success of your marketing campaigns and boosting your company’s revenue. This course is also designed to prepare you for the INFORMS Certified Analytics Professional (CAP) exam and provide you with a comprehensive understanding of the field of analytics.

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Data Analysis

CFA Chartered Financial Analyst

Bismark Adomako

Instructor's Courses

Bismark believes that education is no longer a one-time investment, but instead a lifelong pursuit and that great authors and mentors can play an invaluable role in finding and developing a fulfilling career. He holds a Bachelor of Science degree in Computer Engineering specializing in Software Engineering, Artificial Intelligence and Distributed computing. He taught courses in robotics and computer vision as a student leader whiles in school, and interned and consulted for the British Council as a Software Engineer and Project Assistant. He currently works as a Business Intelligence and Big Data developer doubling up as a Data Scientist at Ecobank eProcess International S.A. developing machine learning models some of which includes the Customer360 model consisting of a customer segmentation model, customer churn model, and customer cross selling (product recommendation) model. He has enterprise level knowledge in data integration for BI & Data Management domain applications.

Pluralsight

View courses Pluralsight

Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.