Introduction to Business Analytics

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Santiago Tacoronte

3:54:07

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1. Introduction to the course.mp4

04:04

2. Definition of Analytics.mp4

05:04

3. History of Analytics.mp4

02:53

4. Analytics Buzz Words.mp4

09:38

5. Analytics Landscape Descriptive, Predictive, Prescriptive.mp4

09:12

6. Business Intelligence.mp4

11:20

7. Data analysis.mp4

03:52

8. Market Research.mp4

04:18

9. Statistics.mp4

04:57

10. Econometrics.mp4

02:30

11. Predictive Models.mp4

16:04

12. Data Mining.mp4

04:52

13. Text Analytics.mp4

07:44

14. Computer vision.mp4

09:34

15. Operations research.mp4

10:11

16. Signal processing.mp4

03:09

17. Image processing.mp4

03:00

18. Natural language processing.mp4

04:51

19. Metaheuristics.mp4

04:28

20. Data Architecture.mp4

09:50

21. Data Quality.mp4

09:56

22. Master Data.mp4

07:06

23. Data Privacy.mp4

07:47

24. Data-Analytics Life cycle.mp4

03:21

25. Data Creation - How data is generated.mp4

07:26

26. Data Creation - What is a source system.mp4

03:29

27. Data Creation - How is data extracted from Source Systems.mp4

03:23

28. Data Creation - Data Replication.mp4

05:23

29. Data Storage - What is a Data Warehouse.mp4

06:28

30. Data Storage - Different DWH technologies.mp4

06:00

31. Data Storage - The concept of ETLELT.mp4

03:36

32. Data Storage - Databases & Data modelling.mp4

11:00

33. Data Use- SQL Language.mp4

04:45

34. Data Use- Python.mp4

04:03

35. Data Use- R.mp4

04:15

36. Data Reporting - Data Visualization.mp4

05:42

37. Data Reporting - Ad-Hoc Analysis.mp4

02:33

38. Data Reporting - Executive Reporting.mp4

04:15

39. Thank you and see you soon.mp4

02:08

Description

Develop essential data analytics skills to grow your business and career

What You'll Learn?

Basics of analytics terminology
How data is used to make business decisions
Identify the ideal analytical methodology for your specific needs
Understand ways to collect, analyze, and visualize data
Descriptive Analytics and how they are embedded in most organisations
An understanding of how predictive models can improve your ability to make decisions in an uncertain world
Prescriptive Analytics and how it helps to formulate recommendations of what you should do
What is Data Management: Architecture, Quality and Privacy
Master fundamental concepts and practices of the analytics life cycle and understand the best practices for each stage

Who is this for?

Entrepreneurs/Business owners

Marketers, Bloggers, Social media managers and in general anyone working in Digital channels.

Professionals looking for an up-skill opportunity

Finance experts with a desire for making use of their company data.

Fresh Graduates that want to get a taste of the different disciplines of analytics.

What You Need to Know?

This is a non-technical program, no coding background is required.

More details

Description
This is a non-technical program, no coding background is required.
This course offers an introduction to big data analytics, statistics and data-driven decision making for all business professionals, including those with no prior analytics knowledge.

Analytical skills are essential in any business. There is a growing need for employees across all areas to know how to read, interpret, and present data in a way that can be understood across all functions and inform decision making. Analytics is listed in 2021 as one of the top 10 skills requested by employers and recruiters. Almost every company in the world now is using data to make better decisions.
This course presents an overview of the field of business and marketing analytics and data science for you to make informed business decisions.
It is an introduction to the different analytics methodologies and how are they used, and is not intended to prepare learners to perform analytics themselves but to gain knowledge of what analytics can do. If you are curious about the different analytics techniques and the possibilities that they offer this course is for you.
The course has a duration of around 4 hours and includes quizzes, assignments and a final test that you will need to pass to get the certificate.

Who this course is for:
Entrepreneurs/Business owners
Marketers, Bloggers, Social media managers and in general anyone working in Digital channels.
Professionals looking for an up-skill opportunity
Finance experts with a desire for making use of their company data.
Fresh Graduates that want to get a taste of the different disciplines of analytics.

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Business Analytics

Santiago Tacoronte

Instructor's Courses

I have worked for more than 20 years for large and small companies and have extensive business analytics and strategy expertise. I believe that data can help make our lives better, and I follow the principle that everyone needs to be an analyst to succeed at work in life.I help people solve complex problems and simplify business processes using information data and analysis. I am the author of GIDAR, a Business Analysis framework.

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