Data Analytics Classes Los Angeles, CA

Harness Excel, SQL, and Tableau to drive powerful analysis and insights. Build confidence and credibility to apply this versatile skill set to countless jobs. This course is offered in person and live online, in a remote classroom setting.

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.

Learn to problem solve, and effectively communicate, like an analyst. This course teaches you to use industry-standard tools to make ethical, data-driven decisions. Experience hands-on training to master SQL, Excel, Tableau, PowerBI, and Python – tools listed in virtually every data analytics job posting across industries.

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 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.

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.

Create robust predictive models with statistics and Python programming. Build confidence and credibility to tackle complex machine learning problems on the job. This course is offered in person and live online, in a remote classroom setting.

This data analytics course is a 1-day bootcamp designed for individuals interested in learning the best practice of working with data and understanding the data analytics roadmap. In this hands-on bootcamp, students will learn how data can help inform decision making, understand the data analytics workflow, and gain exposure to some of the most common tools used for data analysis. Students will also learn how to ask the right questions that can be answered with data, clean and analyze data with standard spreadsheet software (Excel/Google Sheets), and use Tableau to create dynamic visuals.

In this data science bootcamp, students will build programming skills and data analysis skills using Python. This course is open to beginners and is meant to get individuals up and running with Python programming and data science to generate insights from data. Topics covered include programming fundamentals, working with data frames, data analysis, data visualization, and statistical analysis. This course offers flexible scheduling options and a free retake for students to refresh the materials.

Develop a solid design foundation in this two-day beginner-level Tableau training class. Through a combination of hands-on learning, instructor guidance, and class discussions, students import data from multiple sources and use it to create strong visualizations and engaging stories. Specific topics include Tableau interfaces, understanding techniques and best practices, leveraging the Tableau paradigm, workflow management, data analysis, data breakdowns, basic calculations, and guided data presentation.

Take your Tableau skills to the next level in this three-day intermediate course. Using more in-depth Tableau features, such as enhanced data visualization, participants solve more advanced problems. Specific topics include a Tableau review, parameters, sets, groups, reference lines, animation features, forecasting, mapping, data sourcing, filed calculations, and advanced charting.

Combine basic and intermediate courses in this fast-paced, five-day Tableau bootcamp. Once they acquire a solid foundation, students move quickly to more advanced areas, through a combination of structured and guided learning. Key concepts include combining visualizations, using interactive dashboards, utilizing data stores, gaining data insights, effective presentation techniques, and sophisticated data charting approaches.

This 1-day introduction to Microsoft Excel teaches participants how to create, manage and work with spreadsheets. Throughout this experience, students will learn how to use Microsoft Excel to organize and analyze data. They will gain practice with writing formulas, creating tables, and presenting data in charts and reports.

Intermediate Microsoft Excel users can improve their skills with this 1-day program. This program explores the advanced editing tools of Excel, such as text-wrapping, borders, and effects. Students will learn how to adjust page layouts, insert page and section breaks, and handle multiple window views.

This 1-day program teaches experienced Microsoft Excel users how to leverage more advanced tools. This course teaches students how to use PivotTables to analyze data, trace precedents to understand cause and effect within the data, audit worksheets, and convert text. They will learn how to use macros to automate scripts and integrate Excel spreadsheets with other Microsoft Office tools.

This course on data wrangling with Python offers a 3-day comprehensive introduction. The purpose of this course is to give an immersive foundation that equips students with the most critical data analysis tools. Students will learn how to work with NumPy, Pandas, and MatPlotLib to calculate descriptive statistics, work with alternative data sources, and scrape web pages. The course culminates with a real-life data wrangling project.

This 2-day course provides a deep-dive into using Python for data analysis. Students will get comfortable with the basics of Python programming and start working with Numpy Arrays, pandas, and MATPLOTLIB to perform data analysis and create data visualizations. This intensive course is meant to quickly get beginners in Python up to speed on performing data analysis and visualization in Python.

This SQL bootcamp is a beginner-friendly workshop designed for individuals with no prior knowledge of SQL who are eager to learn. In this hands-on workshop, students will learn the basics of SQL syntax and how databases are organized. Students in this course will also learn how to query data, aggregate data with statistical functions (SUM, AVG, COUNT, etc.), group data, and use conditional operators (=, <, >, etc.) to sort and filter data, and much more. Students will also learn when and how to use UNIONs and JOINs to merge data to spot trends and other insights.

Learn to problem solve, and effectively communicate, like an analyst. This course teaches you to use industry-standard tools to make ethical, data-driven decisions. Experience hands-on training to master SQL, Excel, Tableau, PowerBI, and Python – tools listed in virtually every data analytics job posting across industries.

This comprehensive part-time 26-week data analytics bootcamp was designed for individuals entering the field of data analytics and looking to understand the foundational skills needed to succeed in a data driven career. Individuals will learn a wide range of data analytics tools and concepts, including advanced Excel, python, JavaScript, HTML, CSS, API Interactions, Social Media Mining, SQL, Tableau, Advanced Statistics, Machine Learning, R, GitHub, and more. The course is very hands-on and students will work on numerous projects in order solidify their understand of the various tools and concepts covered in the course.Graduates of this 26-week program not only receive a certificate but also career planning assistance in order to be well prepared for a career in data analytics.