--For dummies

Includes index

Data Analytics & Visualization All-in-One For Dummies collects the essential information on mining, organizing, and communicating data, all in one place. This tome of a reference delivers six books in one, so you can build a solid foundation of knowledge in data wrangling. Data analytics professionals are highly sought after these days, and this book will put you on the path to becoming one. You'll learn all about sources of data like data lakes, and you'll discover how to extract data using tools like Microsoft Power BI, organize the data in Microsoft Excel, and visually present the data in a way that makes sense using a Tableau. You'll even get an intro to the Python, R, and SQL coding needed to take your data skills to a new level

"6 books in one!"--Cover

Learning data analytics & visualization foundations. Exploring definitions and roles ; Delving into big data ; Understanding data lakes ; Wrapping your head around data science ; Telling powerful stories with data visualization -- Using Power BI for data analytics & visualization. Power BI foundations ; The quick tour of Power BI ; Prepping data for visualization ; Tweaking data for primetime ; Designing and deploying data models ; Tackling visualization basics in Power BI ; Digging into complex visualization and table data ; Sharing and collaborating with Power BI -- Using Tableau for data analytics & visualization. Tableau foundations ; Connecting your data ; Diving into the Tableau prep lifecycle ; Advanced data prep approaches in Tableau ; Touring Tableau desktop ; Storytelling foundations in Tableau ; Visualizing data in Tableau ; Collaborating and publishing with Tableau cloud -- Extracting information with SQL. SQL foundations ; Drilling down to the SQL nitty-gritty ; Values, variables, functions, and expressions ; SELECT statements and modifying clauses ; Tuning queries ; Complex query design ; Joining data together in SQL -- Performing statistical data analysis & visualization with R programming. Using open source R for data science ; R: what it does and how it does it ; Getting graphical ; Kicking it up a notch to ggplot2 -- Applying Python programming to data science. Discovering the match between data science and Python ; Using Python for data science and visualization ; Getting a crash course in Matplotlib ; Visualizing the data

"Learning made easy"--Cover

Learning data analytics & visualization foundations -- Using Power BI for data analytics & visualization -- Using Tableau for data analytics & visualization -- Extracting information with SQL -- Performing statistical data analysis & visualization with R programming -- Applying Python programming to data science