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Easy Learning Contents for Beginners
Business Metrics for Data-Driven Companies
In this course, you will learn best practices for how to use data analytics to make any company more competitive and more profitable. read more...
Data Analysis with Python
Learn how to analyze data using Python. This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analysis, create meaningful data visualizations, predict future trends from data, and more! read more...
Data Science Methodology
This course has one purpose, and that is to share a methodology that can be used within data science, to ensure that the data used in problem solving is relevant and properly manipulated to address the question at hand. read more...
Decision-Making and Scenarios
This course is designed to show you how use quantitative models to transform data into better business decisions. You'll learn both how to use models to facilitate decision-making and also how to structure decision-making for optimum results. read more...
Functional Programming in Scala Capstone
In the final capstone project you will apply the skills you learned by building a large data-intensive application using real-world data. You will implement a complete application processing several gigabytes of data.read more...
Fundamentals of Quantitative Modeling
How can you put data to work for you? Specifically, how can numbers in a spreadsheet tell us about present and past business activities, and how can we use them to forecast the future? read more...
Fundamentals of Visualization with Tableau
In this first course of the specialization, you will discover just what data visualization is, and how we can use it to better see and understand data. read more...
Getting Started with SAS Programming
This course is for users who want to learn how to write SAS programs to access, explore, prepare, and analyze data. read more...
Introduction to Probability and Data
This course introduces you to sampling and exploring data, as well as basic probability theory and Bayes' rule. read more...
Introduction to Spreadsheets and Models
The simple spreadsheet is one of the most powerful data analysis tools that exists, and it's available to almost anyone. read more...
Modeling Risk and Realities
Useful quantitative models help you to make informed decisions both in situations in which the factors affecting your decision are clear, as well as in situations in which some important factors are not clear at all. read more...
Open Source tools for Data Science
What are some of the most popular data science tools, how do you use them, and what are their features? In this course, you'll learn about Jupyter Notebooks, RStudio IDE, Apache Zeppelin and Data Science Experience. You will learn about what each tool is used for, what programming languages they can execute, their features and limitations. read more...
