Data Analytics Bootcamps Near Me

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.

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 in data analytics serves as an introduction to data analysis. Professionals who take this course will obtain essential data analysis skills, including the use of Tableau for visualizations. This program offers online and on-campus versions, with instruction by experienced data analysts. Graduates are equipped to solve real-world data problems.

This data analytics course is a 40-hour in-person or online program for individuals with no prior experience with data analytics. Utilizing a hands-on approach, students learn by doing in order to build vital and dynamic skills that are applicable in a wide range of industries. The course curriculum centers around the core processes all data analysts must know, including data collection, cleaning, analyzing, and data visualization best practices. Students also come away with hands-on experience using some of the most common tools in the industry, including Microsoft Excel, SQL, and Tableau. By the end of the course, students will have a better understanding of how to gain insights from data and feel more prepared for a possible career in data analytics.

This six-month part-time data analytics boot camp effectively prepares working professionals for a new career in this emerging field. Through hands-on learning in widely-used tools, such as SQL, Power BI, Tableau, Python, and Excel, students apply statistical reasoning to everyday business problems. This process uses actual data from local companies in a variety of business lines. Participants also examine concepts like analytics workflow and exploratory data analysis. Finally, students learn how to use storytelling, dashboards, and report-building to effectively present their findings.

Ready yourself for a data analytics career with this fifteen-week bootcamp. Through hands-on learning in commonly used tools, such as Power BI, Tableau, Excel, SQL, and Python, students use statistical reasoning to solve everyday problems in the business world. This bootcamp also covers analytics workflow, exploratory data analysis, and reporting techniques. Participants learn more than theories. They also use real information from area businesses to perfect their data analytics skills.

This program provides a comprehensive foundation in data analytics in 24-weeks. This course covers the fundamentals of statistics, Python, Tableau, SQL, and HTML/CSS. Graduates of this program will have a robust professional portfolio to share with their current employer or a prospective employer if they are searching for a new career.

This part-time program offers a comprehensive overview of data analytics and visualizations. This 24-week program gives students experience with Python, Tableau, SQL, JavaScript, and Git/GitHub. Students will learn how to work with NumPy, pivot tables, Matplotlib, and MySQL. They will also explore machine learning and big data analytics with Hadoop.

This program provides a comprehensive foundation in data analytics in 24-weeks. This course covers the fundamentals of statistics, Python, Tableau, SQL, and HTML/CSS. Graduates of this program will have a robust professional portfolio to get them started in their careers.