Data Skills for Business

What is data science? What is data science and how can it help your company? This course will show you how to set up a data team and how to structure it to meet your company's requirements. Data is everywhere! This course will help you identify and store data sources. Learn how dashboards and A/B Testing can be used for data visualization and analysis. This course will end with fascinating topics in machine-learning, such as clustering, time series predictions, natural language processing and explainable Ai. You will be able to apply the knowledge gained through practical exercises in order to gain a better understanding of data science.

Statistics is the science and art of analysing and interpreting data. To be able work effectively with your data, and to find solutions to your problems, you need to have a solid understanding of statistics. This course will provide you with a solid foundation of statistics. This course will teach you how to use Spreadsheets functions for exploring averages, distributions, and hypothesis testing. The course will end with a case study to demonstrate your new knowledge. Working with various datasets will be a part of the course, including historical presidential approval ratings, eBay auctions and train ridership. Enjoy!

This course provides an introduction to machine-learning for business leaders. We will focus on the best ways to structure business questions and how to model projects using machine learning teams. Understanding the different types of models, and the business questions or opportunities they reveal will help you to understand them. Machine learning can also be used in situations that are not appropriate. You will be able to recognize the differences between prediction, inference, and predicting probabilities, and how unsupervised learning can help create meaningful customer segmentation strategies.

Data literacy is important for all employees in an organization, not just data scientists and analysts. All employees must be able to efficiently analyze and read the growing amount of data that companies collect. This course will cover the basics of data-driven decision-making and how to apply them in real-world situations in finance, marketing, operations and other areas. This course will teach you how to use supply, demand, cost, risk, reward, and benefit frameworks to uncover new insights and opportunities. You will gain practical skills that will allow your business to thrive in a data-driven world.

This free course will help you understand the responsibilities and role of a Marketing Analyst. This course explains how data can help customers understand and grow businesses. It will allow you to answer important questions like "Did my campaign increase sales six months after launch?" You will also use real-world data for essential marketing analysis. You will also be responsible for building customer segments, market response models, and calculating customer lifetime value (LTV), among other tasks.

What's the truth behind all the AI hype? What's the truth behind the hype surrounding Machine Learning, Deep Learning, and Predictive Analytics. What are the limitations of machine learning? Machine Learning can be used for recognition of written numbers, prediction of customer turnover, and structure in Elon Musk's tweets. All of these topics will be covered in this course. This course will introduce you to AI in a gentle, but very practical manner.

Start your journey to Data Science. Data Science is not a programming language. Bayes, the kidnapped Golden Retriever, will be solved by data. Additionally, you'll learn Python syntax as well as popular Data Science modules such Matplotlib (for charts & graphs) or Pandas (for table data).