Data Analytics Classes Indianapolis, IN

This course covers the skills needed to become a Data Analyst or Business Analyst, including data analytics fundamentals, visualization with Tableau, using Python to clean and manipulate data, and how to work with relational databases. One-on-one mentoring is included.

In this program, participants will learn the key skills and tools needed to succeed as a data analyst, including Excel, SQL, and Tableau. Attendees will learn how to use Excel to create graphs, summarize data with PivotTables, and analyze data. In SQL, attendees will learn the essentials of relational databases, queries, functions, and more. Finally, participants will learn Tableau to create visualizations to express their data. The program is open to beginners and has flexible scheduling options. Tuition includes hands-on training, a free retake, and training manuals for each course.

Data Analytics Flex is a 6-month part-time program designed to get you a job as a data analyst. You will begin by learning how to master Excel and storytell with Powerpoint. Afterwards, you'll learn how to query data using SQL and visualize data using Tableau. Once you've mastered these building blocks, you'll receive business case studies to simulate real-world work projects and you'll also be exposed to statistics. Finally, you'll learn how to clean data using Python and work on your capstone project. This program comes with a tuition backed guarantee if you don't land a job within 6 months of graduation.

In this comprehensive data science program, individuals will learn a variety of critical skills to become a data scientist. Students will learn to code with Python, create machine learning models, automate tasks like web scraping, and interact with databases using SQL. Topics include data analysis with Python's Numpy and Pandas packages, data visualization, predictive analytics, machine learning, SQL querying, Python automation, and web scraping. Students will learn hands-on by working in Python and SQL and will complete the program with the skills they need to enter the field of data science. This program offers flexible scheduling and provides a free retake for students to refresh the material.

This extensive 24-week Data Analytics bootcamp was designed for individuals with a bachelors degree at least two years of work experience who are interested in learning a wide range of foundational skills to start a career as a data analyst. This bootcamp helps students learn a wide range of tools through a diverse hands-on curriculum, including advanced Excel, Python, JavaScript, HTML5/CSS, API Interactions, SQL, Tableau, R, Git/GitHub, and more. Students will be able to reinforce what they learn through projects with data sets sourced from a range of industries, including finance, healthcare, and government, just to name a few. Graduates of the bootcamp will come away with a portfolio of diverse projects to show employers, a certificate of completion in data analytics from Butler University Executive Education, and continued one-on-one career support from your career coach.

In this 8-day intensive Data Analytics bootcamp, students with little to no background in data analytics will learn how to use Microsoft Excel, SQL, and Tableau to summarize, display, and discover key insights hidden in data sets. By the end of this bootcamp, students will be able to use Excel to aggregate and summarize data, sort data with PivotTables, create charts and tables in Excel, use SQL to filter and sort large data sets, use advanced database queries, create visualizations with Tableau, and much more. Students will also be able to reinforce what they learn through the numerous projects they encounter throughout the course. This course also offers a free retake within six months to allow students to revisit any concepts needing to be refreshed and walk away with a much stronger grasp of the material.

This course teaches basic SQL Querying in 2-days. Students learn online, attending live training provided by professional instructors. The course explores database concepts such as grouping and summarizing data, joining tables, and clauses. Working in the online lab environment, students will get hands-on experience writing simple SELECT queries and using built-in functions and expressions.

This 1-day online course teaches students how to compose Advanced queries in SQL. Based on Microsoft’s SQL Server, this program is delivered live by experienced instructors, allowing for real-time feedback. Students will learn how to write advanced queries, advanced WHERE clauses, and create advanced joining tables. They will practice these schools in an online lab environment, where they can collaborate with other students.

This course is a 4-day comprehensive workshop on MySQL workbench data modeling and development. This program uses an online lab environment to allow students to practice what they are learning. The live training covers topics such as creating an ERD, defining the physical schemata, reverse engineering a database, managing security, and more. Students will also learn how to use MySQL Workbench to create and maintain MySQL databases effectively.

In this 2-day course, students can learn how to use Tableau Desktop’s advanced tools to create data visualizations. While attending this online program, students will learn how to interact with Tableau Server, get their data ready, improve their level of detail calculations, and integrate with R. This course uses live instruction by experienced professionals. Students get to learn and gain hands-on experience in an online lab environment.

This 2-day course teaches the basics of Tableau Desktop. Live online instruction will cover topics such as advanced visualizations, forecasting, distributions, trends, and using row-level, aggregate, and level of detail calculations. Students will get hands-on experience working with Tableau in the online lab environment. At the end of the program, students will be able to build and customize their own data visualizations.

This 2-day course teaches students how to use Tableau 10 to create data visualizations. Covering topics such as data preparation, analytics, interactivity and story points, students will learn how to organize, analyze and visualize data. Business professionals who take this course will acquire the skills to use data to drive strategic decision-making.

This course teaches the fundamentals of Microsoft Excel. Students attending this 1-day course will learn how to set up workbooks, enter and format data, create charts and graphs, and use formulas to perform calculations. Students will know how to work with multiple versions of Microsoft Excel, including the mobile app and online versions.

This 1-day course is intended to help beginners develop more advanced skills in Microsoft Excel. This intermediate program will teach students how to perform calculations, manage worksheet data, combine data from multiple sources, and analyze alternative data sets. Students will also learn how to collaborate with colleagues, track changes, and export workbooks.

Intermediate users of Microsoft Excel will learn advanced skills in this 1-day course. The topics covered include automation with macros, alternative datasets, and dynamic worksheets. Students will learn important principles of business intelligence data analysis, and how to create forecasts and visualizations. This course is delivered online with live instructors.

This 1-day program builds on foundational knowledge of Microsoft Excel. Students in this course will learn how to create advanced workbooks and worksheets and use them to create dashboards. The use of dashboards in Microsoft Excel will enable students to make business data more accessible, understandable and useful for decision-making.

Get to know Microsoft Power Query, one of the most powerful Microsoft BI and Excel tools, in this introductory one-day class. Power Query allows users to transform and combine data from numerous sources. Through a combination of live instruction, class discussions, and hands-on learning, participants explore concepts like database connection, loading, and grouping, data merges, Power Query syntax, and CSV, text, and Excel management.

Learn how to use Microsoft Power BI to visualize business data in this two-day introductory course. Through a combination of individual and group projects, live instruction, and class discussions, participants master areas like grouping, summarizing, merging, and calculating data, database connection, Power BI tools, and data reporting.

This one-day, beginner-level course gives participants a basic overview of Microsoft Power BI Online. This platform enables users to import, combine, and transform data. Through a combination of hands-on learning, class discussions, and live instruction, participants acquire skills like dashboard and report configuration, data importing, and report sharing.