Training Remote and In-Person

Information Technology

Data Analysis Comprehensive Course

Start: May 2021       Type: Online / In-class; Evening & Weekends       Duration (hr): 171


This unique comprehensive course provides solid knowledge in Data Analysis and Statistical Software. Through a combination of lectures and exercises, students will learn the key techniques and approaches necessary to be an effective Data Analyst. Students will learn fundamentals of Data Analysis with Python programming, advanced Excel techniques and VBA macros, basics of SQL Server Databases, Data Visualization with Tableau and Power BI. After completing this course, students will be able to work as a Data Analyst or perform related work that requires knowledge of data analysis, data manipulation and data visualization. This training is available in-class and remotly (online).
1. Statistics Basics – students will review basic concepts and terminology in Statistics.
2. Python Programming Fundamentals – the module includes following topics: Basic Data Types (Basic Data Types, Variables, Operators, Functions and Modules), Compound Data Types (Lists, Strings,  Sets, Dictionaries), Flow control (Conditional expressions, Loops, Iterators), Working with files, Working with functions, OOP Concepts, Benefits of Standard Library.
3. Data Analysis and Visualization with Python – module provides solid fundamentals of Data Analysis and Data Visualization using functions and Python Libraries, such as Numpy, Pandas, Seaborn etc.
4. Data Analysis with Excel – in this module students will learn Excel advanced techniques, including Math Functions, Logical Functions, Statistical Functions, Lookup, Sort/Filter Data, Pivot Tables and Pivot Charts, Power Pivot Tables, Data Analysis Tools etc. Also, this module provides introduction to VBA scripting and using Macros.
5. SQL Databases Fundamentals – this module provides solid fundamentals of SQL databases, with emphasis on querying data. Students will learn how to filter, group and sort data, retrieve data from multiple tables using joins and unions, built-in functions to manipulate dates and strings, primary and foreign key table relationships, understand indexes for performance gains. The following topics will be covered: select queries, filtering, grouping, sorting data, combining tables with joins and union, understanding primary and foreign key relationship, views, built in system functions for querying data, conditional testing with If and Case statements, looping, inserting, updating and deleting data basics.
6. Data Visualization with Tableau – the module includes: using the Tableau interface/paradigm to create data visualizations, creating calculations, building Dashboards, advanced chart types and visualization, complex calculations to manipulate data, use statistical techniques to analyze data, implement advanced geographic mapping techniques and visualizations of non-geographic data, prep data for analysis, combine data sources using data blending. 
7. Data Visualization with Power BI and DAX – Power BI Desktop lets you connect to, transform, and visualize your data. With Power BI Desktop, you can connect to multiple different sources of data, and combine them (often called modeling) into a data model. This data model lets you build visuals, and collections of visuals you can share as reports, with other people inside your organization. Most users who work on business intelligence projects use Power BI Desktop to create reports, and then use the Power BI service to share their reports with others in a cloud. 
*171 instructor-led in-class academic hours, plus labs
Basics of Statistics and Excel
Bonus for our students enrolled in DA Comprehensive course:  
Special discount price for SAS ProgrammingR Programming (valid 24 months)
Note: Statistics Basics module can be waived for students with recent similar college credits (Statistics) or people with extensive experience in Statistics.


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