Introduction to Business Analytics

Introduction to Business Analytics, available at $69.99, has an average rating of 4.61, with 40 lectures, 8 quizzes, based on 562 reviews, and has 30348 subscribers.

You will learn about 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 This course is ideal for individuals who are Entrepreneurs/Business owners or Marketers, Bloggers, Social media managers and in general anyone working in Digital channels. or Professionals looking for an up-skill opportunity or Finance experts with a desire for making use of their company data. or Fresh Graduates that want to get a taste of the different disciplines of analytics. It is particularly useful for Entrepreneurs/Business owners or Marketers, Bloggers, Social media managers and in general anyone working in Digital channels. or Professionals looking for an up-skill opportunity or Finance experts with a desire for making use of their company data. or Fresh Graduates that want to get a taste of the different disciplines of analytics.

Enroll now: Introduction to Business Analytics

Summary

Title: Introduction to Business Analytics

Price: $69.99

Average Rating: 4.61

Number of Lectures: 40

Number of Quizzes: 8

Number of Published Lectures: 40

Number of Published Quizzes: 8

Number of Curriculum Items: 50

Number of Published Curriculum Objects: 50

Number of Practice Tests: 1

Number of Published Practice Tests: 1

Original Price: $49.99

Quality Status: approved

Status: Live

What You Will 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 Should Attend

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.

Target Audiences

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.

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

This course introduces big data analytics, statistics, and data-driven decision-making for all business professionals, including those without 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 2024 as one of the top 10 skills requested by employers and recruiters. Almost every company in the world uses data to make better decisions.

This comprehensive course offers a detailed overview of the field of business and marketing analytics and data science. The course materials cover a wide range of topics, including data mining, predictive modeling, business intelligence, and machine learning. By studying these topics, you will gain an in-depth understanding of how data can be used to inform business decisions. Additionally, you will learn about tools and techniques such as statistical analysis, data visualization, and data storytelling to effectively communicate insights to stakeholders. By the end of the course, you will have the skills and knowledge needed to make data-driven decisions that can drive business growth and success.

It introduces the different analytics methodologies and how they are used. It is not intended to prepare learners to perform analytics themselves but to learn what analytics can do. If you are curious about the different analytics techniques and the possibilities they offer, this course is for you.

The course lasts around 4 hours and includes quizzes, assignments, and a final test you must pass to get the certificate.

Course Curriculum

Chapter 1: Welcome

Lecture 1: Introduction to the course

Chapter 2: What is Analytics?

Lecture 1: Definition of Analytics

Lecture 2: History of Analytics

Lecture 3: Analytics Buzz Words

Chapter 3: Analytics Landscape

Lecture 1: Analytics Landscape: Descriptive, Predictive, Prescriptive

Chapter 4: Descriptive Analytics

Lecture 1: Business Intelligence

Lecture 2: Data analysis

Lecture 3: Market Research

Lecture 4: Statistics

Lecture 5: Econometrics

Chapter 5: Predictive Analytics

Lecture 1: Predictive Models

Lecture 2: Data Mining

Lecture 3: Text Analytics

Chapter 6: Prescriptive analytics

Lecture 1: Computer vision

Lecture 2: Operations research

Lecture 3: Signal processing

Lecture 4: Image processing

Lecture 5: Natural language processing

Lecture 6: Metaheuristics

Chapter 7: Data Management

Lecture 1: Data Architecture

Lecture 2: Data Quality

Lecture 3: Master Data

Lecture 4: Data Privacy

Chapter 8: Data-Analtyics Life cycle

Lecture 1: Data-Analytics Life cycle

Lecture 2: Data Creation – How data is generated

Lecture 3: Data Creation – What is a source system?

Lecture 4: Data Creation – How is data extracted from Source Systems?

Lecture 5: Data Creation – Data Replication

Lecture 6: Data Storage – What is a Data Warehouse?

Lecture 7: Data Storage – Different DWH technologies

Lecture 8: Data Storage – The concept of ETL/ELT

Lecture 9: Data Storage – Databases & Data modelling

Lecture 10: Data Use- SQL Language

Lecture 11: Data Use- Python

Lecture 12: Data Use- R

Lecture 13: Data Reporting – Data Visualization

Lecture 14: Data Reporting – Ad-Hoc Analysis

Lecture 15: Data Reporting – Executive Reporting

Chapter 9: Course Wrap-up

Lecture 1: Thank you and see you soon

Lecture 2: Subscribe to the Smart Choice Newsletter and Continue your Analytics Journey

Instructors

Santiago Tacoronte
Data-Driven Strategy | Innovation & Experimentation | Author

Rating Distribution

1 stars: 7 votes
2 stars: 8 votes
3 stars: 73 votes
4 stars: 181 votes
5 stars: 293 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

Menu