Data Analysts are responsible for analyzing data and reporting insights from their analysis. They have a deep understanding of the data analysis workflow and report their insights through a combination of coding and non-coding tools.
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Choose the courses that bring your Data Analysts the skills they need to succeed in your organization
Data Literacy Fundamentals
Data literacy empowers you to make great decisions fast. It is the key skill of the future and will boost your career growth. In this course you will learn why data literacy is important and how you can use data for decision-making. You will learn how to ask the right questions and how to form a hypothesis. Finally, you’ll learn about the different types of data analysis and what analysis you need for your decision.
Whether you’re in product, marketing, operations, or finance – SQL will make your life easier and save your time. It enables you to access data in its raw form after which you can use it in your analyses for data-driven decision making. In this course you’ll learn how to use SQL to support decision making. You will learn how you can get the data from a table and how to combine multiple tables. Finally, you will learn how analyze data using aggregate functions. In this course you’ll use three real-world datasets.
Data Manipulation in Python
Cleaning and manipulating data ensures that the data is of high quality and ready for use. pandas is the most popular open source library in Python to manipulate data. In this course, you’ll discover how to work with DataFrames – a structure that contains two-dimensional data. With the pandas library, you’ll master extracting, filtering, and transforming data. By the end of this training, you’ll have the skills you need to confidently use your data for decision-making.
Tableau is widely used at organizations to explore and visualize data on customers, operations, finance and beyond. This interactive course will help you to take your first step in data analysis in Tableau on these datasets. You’ll learn the fundamental concepts and features of Tableau. Next, you’ll learn how to build simple visualizations and further explore and drill-down on these visualizations. By the end of the course you’ll also have the skills to format and present the visualizations for better data-driven decisions.
DAX Calculations in Power BI
Data Analysis Expressions (DAX) is a formula language that is used in Power BI for creating calculated columns, measures and custom tables. With DAX you can make powerful data transformation which helps you to get the most out of your data. This course introduces you to the core concepts in DAX such as row query and filter context. You will master filtering, counting, ranking, and iterating functions through interactive exercises. By the end of this training, you’ll have the skills you need to confidently transform you data with DAX.
Machine Learning Fundamentals
Machine learning is making the computer learn from studying data and statistics. It has has many practical applications that you can use in your projects or on the job. In this course, you’ll learn how to build predictive models with machine learning. You’ll develop supervised learning algorithms, including classification and regression. By the end of this course you’ll be able to support important decisions, such as which service requests to prioritise or what to do to prevent a customer from churning.
“As part of our Data Science & Analytics Excellence Program, we use a combination of Data Booster courses and internal classroom training. In the courses, our trainees learn to acquire and analyze data in SQL, Python, Tableau and Power BI. With the right skills they can truly make a difference for our clients.”
Data Consulting Group
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