Data Analytics & Data Science for Executives
Data Analytics & Data Science for Executives, available at $59.99, has an average rating of 4.59, with 23 lectures, 15 quizzes, based on 43 reviews, and has 297 subscribers.
You will learn about What Data Analytics is and why it is one of the most in-demand skills today The history of Data Analytics in helping companies become market leaders Why ethics is key for trusted analytics How to scale analytics across the organization The core principles of data analytics, from exploratory data analysis and data visualization to high-frequency analytics and alternative data This course is ideal for individuals who are Today’s largest organisations run on data, in fact some of them have data as their biggest asset. Despite this incredible volume of data, many businesses are not well placed to extract value from this data as they do not have the right skills. This course teaches everyone in an organisation what data is, how to extract value from it and how the history of data science in business has shown us that data is worth investing in. It is particularly useful for Today’s largest organisations run on data, in fact some of them have data as their biggest asset. Despite this incredible volume of data, many businesses are not well placed to extract value from this data as they do not have the right skills. This course teaches everyone in an organisation what data is, how to extract value from it and how the history of data science in business has shown us that data is worth investing in.
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Summary
Title: Data Analytics & Data Science for Executives
Price: $59.99
Average Rating: 4.59
Number of Lectures: 23
Number of Quizzes: 15
Number of Published Lectures: 23
Number of Published Quizzes: 15
Number of Curriculum Items: 38
Number of Published Curriculum Objects: 38
Original Price: R319.99
Quality Status: approved
Status: Live
What You Will Learn
- What Data Analytics is and why it is one of the most in-demand skills today
- The history of Data Analytics in helping companies become market leaders
- Why ethics is key for trusted analytics
- How to scale analytics across the organization
- The core principles of data analytics, from exploratory data analysis and data visualization to high-frequency analytics and alternative data
Who Should Attend
- Today’s largest organisations run on data, in fact some of them have data as their biggest asset. Despite this incredible volume of data, many businesses are not well placed to extract value from this data as they do not have the right skills. This course teaches everyone in an organisation what data is, how to extract value from it and how the history of data science in business has shown us that data is worth investing in.
Target Audiences
- Today’s largest organisations run on data, in fact some of them have data as their biggest asset. Despite this incredible volume of data, many businesses are not well placed to extract value from this data as they do not have the right skills. This course teaches everyone in an organisation what data is, how to extract value from it and how the history of data science in business has shown us that data is worth investing in.
A Data Science Training course for Executives is a course designed to provide business leaders with an understanding of the fundamental concepts and applications of data science. The course covers key topics such as data analysis, data visualization, machine learning, and big data technologies. The goal of the course is to equip executives with the skills and knowledge they need to make informed decisions about data-driven initiatives within their organizations.
Data Analytics is one of the most sought-after skills globally. Business Insider has even rated both Chief Digital Officers and Data Science Executives as two of the top six most in-demand executive jobs.
However, analytics knowledge isn’t just crucial for data scientists and analysts, but for anyone looking to navigate today’s world, make data-informed decisions and be able to predict and better react to market trends.
This Data Science for Executives course explains:
1. What Data Analytics is and why it is one of the most in-demand skills today.
2. The history of Data Analytics in helping companies become market leaders and how companies came to recognise data as an asset rather than a by-product of operations.
3. Why ethics is key for trusted analytics both for the organisation and for clients.
4. How to scale analytics across the organisation using data scientists and data engineers.
5. The core principles of data analytics, from exploratory data analysis and data visualisation to high-frequency analytics and alternative data.
This course covers analytics at a high level without any coding examples, by focusing on the various aspects of analytics and how they can be applied in practice. This course will enable executives and beginners alike to understand the power of analytics, what skills data science teams need, and why analytics needs to be broadly adopted to enable a data-driven organisation.
This course was developed by DMSA and is presented by Data Science leader Matthew Bernath.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction to Data Analytics
Lecture 2: What is Data Analytics
Lecture 3: History of Data Science
Lecture 4: What is Data Science
Chapter 2: The Four Types of Data Analytics
Lecture 1: Four Types of Data Analytics
Chapter 3: Data Science Work and the Data Science Team
Lecture 1: How to Perform Data Science
Lecture 2: Data Team
Lecture 3: Data Visualization
Lecture 4: Data Analytics in Excel Podcast
Chapter 4: The Value of Data – Monetising Data Science and Finding its Role
Lecture 1: Data Across The Spectrum
Lecture 2: Data Monetization
Lecture 3: Data & Concept Drift
Lecture 4: Financial Modelling Meets Data Analytics
Chapter 5: High Frequency and Alternative Data
Lecture 1: High Frequency Data
Lecture 2: High Frequency Data Analytics – Background
Lecture 3: Alternative Data
Lecture 4: Data Analytics in Finance
Chapter 6: Data Science Zen – Data Science for Purpose
Lecture 1: Analytics Zen
Chapter 7: Ethical Data Science
Lecture 1: AI Ethics
Lecture 2: Data Governance vs. Model Governance and AI Ethics
Chapter 8: Recommended Reading & Listening
Lecture 1: Data Analytics Books Recommendations
Lecture 2: More Data Analytics Books Recommendations
Lecture 3: Podcast Recommendations
Instructors
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DMSA Training
Data Analytics Training
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 0 votes
- 3 stars: 5 votes
- 4 stars: 13 votes
- 5 stars: 25 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!
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