Course Description

Introduction to Data Analytics and AI

This course introduces big data analytics, statistics, artificial intelligence, 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 business and marketing analytics and data science. The course materials cover various 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 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 help them understand what analytics can do. If you are curious about the different analytics techniques and the possibilities they offer, this course is for you.

Provider

udemy

Target

  • 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

Sector

  • Business and Marketing
  • Digital Marketing
  • Finance
  • General Industry (any business sector using data for decision-making)

Area

  • Big Data Analytics
  • Statistics
  • Artificial Intelligence
  • Data-Driven Decision-Making
  • Business Intelligence
  • Data Science

Method

Online

Certification

Yes

Duration

4 hours on-demand video

Assessment

No

Cost

19.99

Learning Outcomes

  • 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 organizations
  • 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

Learning Content

  • Welcome
  • What is Analytics?
  • Analytics Landscape
  • Descriptive Analytics
  • Predictive Analytics
  • Prescriptive analytics
  • Data Management
  • Data-Analtyics Life cycle
  • Course Wrap-up