Thankfully we have 167 other Data Analyst Classes for you to choose from. Check our top choices below or see all classes for more options.
Noble Desktop - Virtually Online
Uncover the power of Python for analyzing real-world data sets in this hands-on course at Noble Desktop. Explore Python fundamentals and learn how to create programs, work with data, visualize insights, and develop machine learning models. Elevate your data science skills with the Python for Data Science Bootcamp.
May 20th
10am–5pm EDT
Meets 5 Times
Jun 17th
10am–5pm EDT
Meets 5 Times
This class has 3 more dates.
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Noble Desktop - Virtually Online
Gain in-demand skills in data analysis, visualization, and database management to become a sought-after Data Analyst or Business Analyst. Learn to extract information from raw data and generate actionable insights for industries like healthcare, finance, retail, and more. Advance your career in analytics with real-world projects and hands-on training.
May 28th
10am–5pm EDT
Meets 26 Times
Jun 4th
6–9pm EDT
Meets 52 Times
Practical Programming - Virtually Online
Embark on a transformative journey into the world of Python development with a comprehensive curriculum designed to elevate your coding skills to new heights.
May 20th
10am–5pm EDT
Meets 15 Times
Noble Desktop - Virtually Online
Master the art of turning raw data into actionable insights with SQL queries. This hands-on course will teach you how to filter, group, and join data, as well as use advanced techniques like subqueries and aggregate functions. Gain the skills to excel in any data-driven industry and make more informed decisions.
Apr 30th
10am–5pm EDT
Meets 3 Times
May 20th
10am–5pm EDT
Meets 3 Times
Jun 10th
10am–5pm EDT
Meets 3 Times
This class has 3 more dates.
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Noble Desktop - Virtually Online
In this course, students will master Excel, SQL, and Tableau, some of the top data analytics tools. Here, students will gain the skills to organize, analyze, summarize, and visualize data, presenting actionable insights for effective decision-making. Comprehensive classroom training in Midtown Manhattan.
May 13th
10am–5pm EDT
Meets 8 Times
May 14th
6–9pm EDT
Meets 16 Times
Jun 21st
10am–5pm EDT
Meets 8 Times
Unlock the power of data insights with the Microsoft Power BI Data Analyst course. Learn how to analyze and visualize data using Power BI, access and process data from various sources, and implement security standards. Gain the skills to design and create reports, perform advanced analytics, and manage and share report assets.
PL-300T00: Microsoft Power BI Data Analyst course is designed for candidates who enjoy analyzing data and using Power BI to discover and unlock meaningful data insights.
This course covers Microsoft PL-300 exam objectives and offers the best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The training provides access and process data from a range of data sources, including both relational and non-relational data.
PL-300T00: Microsoft Power BI Data Analyst course also explores how to implement proper security standards and policies across the Power BI spectrum, including datasets and groups. The course will discuss managing and deploying reports and dashboards for sharing and distributing content. Finally, this course will teach how to build paginated reports within the Power BI service and publish them to a workspace for inclusion within Power BI.
One Microsoft exam voucher is included with the class.
Prerequisites
Required
Recommended
Course Objectives
Course Outline
This course is available for "remote" learning and will be available to anyone with access to an internet device with a microphone (this includes most models of computers, tablets). Classes will take place with a "Live" instructor at the date/times listed below.
Upon registration, the instructor will send along additional information about how to log-on and participate in the class.
A student who cancels within 7 days of signing the enrollment agreement but before instruction begins receives all monies returned with the exception of the non-refundable registration fee.
Thereafter, a student will be liable for:
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