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30-Day Money-Back Guarantee

This course includes:

  • 4 hours on-demand video
  • 1 downloadable resource
  • 1 practice test
  • Full lifetime access
  • Access on mobile and TV
  • Assignments
Business Business Analytics & Intelligence Business Analytics

Introduction to Business Analytics

Develop essential data analytics skills to grow your business
Rating: 4.4 out of 54.4 (80 ratings)
11,171 students
Created by Santiago Tacoronte
Last updated 6/2020
English
English [Auto]
30-Day Money-Back Guarantee

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

Requirements

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

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.

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.


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.

Course content

9 sections • 39 lectures • 3h 54m total length

  • Preview04:04

  • Preview05:04
  • History of Analytics
    02:53
  • Analytics Buzz Words
    09:38
  • Module 1 Quizz
    6 questions

  • Preview09:12
  • Analytics Landscape Quiz
    6 questions
  • Great leaders ask great questions
    2 questions

  • Preview11:20
  • Dashboard "Escape Room" - Learning to navigate dashboards
    4 questions
  • Data analysis
    03:52
  • Market Research
    04:18
  • Statistics
    04:57
  • Econometrics
    02:30
  • Descriptive Analytics Quiz
    10 questions

  • Predictive Models
    16:04
  • Data Mining
    04:52
  • Text Analytics
    07:44
  • Predictive Analytics Quiz
    7 questions

  • Computer vision
    09:34
  • Operations research
    10:11
  • Signal processing
    03:09
  • Image processing
    03:00
  • Natural language processing
    04:51
  • Metaheuristics
    04:28
  • Prescriptive Analytics - Quiz
    12 questions

  • Data Architecture
    09:50
  • Data Quality
    09:56
  • Master Data
    07:06
  • Data Privacy
    07:47
  • Data Management Quiz
    8 questions

  • Data-Analytics Life cycle
    03:21
  • Data Creation - How data is generated
    07:26
  • Data Creation - What is a source system?
    03:29
  • Data Creation - How is data extracted from Source Systems?
    03:23
  • Data Creation - Data Replication
    05:23
  • Data Storage - What is a Data Warehouse?
    06:28
  • Data Storage - Different DWH technologies
    06:00
  • Data Storage - The concept of ETL/ELT
    03:36
  • Data Storage - Databases & Data modelling
    11:00
  • Data Use- SQL Language
    04:45
  • Data Use- Python
    04:03
  • Data Use- R
    04:15
  • Data Reporting - Data Visualization
    05:42
  • Data Reporting - Ad-Hoc Analysis
    02:33
  • Data Reporting - Executive Reporting
    04:15
  • Data-Analytics Life Cycle Quiz
    14 questions

  • Final Knowledge Test
    50 questions
  • Thank you and see you soon
    02:08

Instructor

Santiago Tacoronte
Your Data Detective
Santiago Tacoronte
  • 4.4 Instructor Rating
  • 80 Reviews
  • 11,171 Students
  • 1 Course

Analytics & Digital Strategy | Food & Wine lover | When I am not analysing businesses I am cooking

I have worked for more than 15 years for large and small companies and I have extensive expertise in business analytics. I have planned and executed Websites, Google Analytics and Tag Manager, CRM, Salesforce, Power BI, Data warehouses and relational databases

I solve complex problems and simplify business processes using data and analytics. I love to help others.

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