Study data science through Python-based programs that cover analytics, visualization, and modeling. You’ll learn how to interpret and present complex data effectively.
Unlock the power of Python for data-driven decision-making as you master Python programming fundamentals and dive into data analysis. Acquire essential skills to clean and manipulate data, create insightful visualizations, and perform statistical analysis, all through hands-on projects with real-world datasets.
Master Python for data analysis, machine learning, and automation. Build predictive models, create dynamic dashboards, and unleash the power of data visualization. Launch your career in data science and Python engineering, equipped with Python, NumPy, Pandas, and Matplotlib.
Learn to extract information from databases by writing SQL queries, joining tables, aggregating data, and filtering results. You'll learn PostgreSQL in this class, but the concepts apply equally to other databases such as SQL Server and MySQL.
Become proficient in Microsoft Excel and go from beginner to pro with our hands-on Excel Bootcamp. Learn functions, formulas, Pivot Tables, macros, and time-saving techniques to conquer all the key skills needed to excel in Excel.
Learn how to use Tableau, a powerful data visualization tool, to create interactive and aesthetically pleasing charts, graphs, and maps. This course will teach you how to connect to datasets, analyze and structure data, customize visualizations, and publish your work.
Learn how to use Power BI, a powerful data visualization tool, to create interactive and aesthetically pleasing charts, graphs, and maps. Learn how to connect to datasets, analyze and structure data, customize visualizations, and publish reports.
Master the industry-standard tools and programming languages used by Data Analysts, including Excel, SQL, and Tableau, in this comprehensive classroom training program. Gain hands-on experience working on real-world projects and learn to organize, analyze, summarize, and visualize data to present actionable insights.
Learn the fundamentals of data analytics, including descriptive and inferential statistics, and how different industries and organizations use data for forecasting and decision-making. Explore statistical analysis and modeling, including statistical algorithms, theorems, and models.
Learn Python, SQL, automation, and machine learning to become a Data Scientist. Gain Python programming, data analysis, SQL querying, and predictive modeling skills. Perfect for beginners, this program prepares you for entry-level data science and Python engineering roles. Unlock high-paying job opportunities in the field of data science.
Learn the essential skills needed to become a Data Analyst or Business Analyst, including data analysis, data visualization, and statistical analysis. Gain practical experience through real-world projects and prepare for a successful career in the field of data analytics.
It’s no surprise that Data Science is one of the fastest-growing careers with its wide variety of career paths among multiple industries. Every choice in this field is in-demand due to the constant rise in the need for data interpretation. Professionals use the data they extract to form predictions based on their analysis and present that information to stakeholders who depend on their accuracy.
Data Science is interdisciplinary, combining programming, mathematics, and business. The programming element includes pattern recognition, signal processing, data mining, machine learning, and modeling. The mathematics focus is on probability, statistics, linear algebra, and calculus, to allow a determination of whether a test is statistically significant. Business acumen rounds out the primary parts of being a Data Scientist, enabling scientists to communicate with business leaders and translate their findings into actionable insights.
To demonstrate how hot a career in Data Science is right now, you need look no further than the U.S. Bureau of Labor Statistics. Growth in the field of Data Science is at 12% and the median salary is $122,840. Even before discussing all of the terrific opportunities in Virginia, these facts show that if you want a vocation that is riding the crest of the wave, you’ve found it in Data Science.
Virginia places a high focus on supporting small businesses that have a thirst for growth and acquiring a market share focus away from their larger-sized corporate competitors nearby. These ambitious start-ups know that their success lies with having someone who can gather mass amounts of data and return with a report that provides insight and direction. With economic support groups backing these young businesses, someone starting in the field of data science has a chance to be with a group as they build and succeed.
Virginia is also home to major corporations such as DXC Technology, Northrop Grumman, and General Dynamics, and thanks to their domination in their marketplaces, they have a constant need for excellent data scientists to make sure their goals are consistently met.
Most of these opportunities are based in the larger metropolitan areas in Virginia, but the state is small enough that when a professional needs a break, they are never far from the peace and quiet of the countryside or the pleasure of spending a day at the shoreline of the Atlantic Ocean.
Noble Desktop, the creator of this tool, has listed a collection of top-notch schools for those who would like to learn more about in-person Data Science classes. The primary school in Virginia offering face-to-face courses is New Horizons. New Horizons offers a selection of courses that give a good idea of how broad data science education can go.
Data Wrangling with Python is a 3-day intensive instruction in what you’ll need as a foundation in this field.
SQL Querying Fundamentals Part 1 and Part 2 get students involved in beginning with simple connections to the SQL Server, executing a simple query. The courses move through all of the basic to advanced concepts through organizing data, retrieving data, and exporting the results of the query. As they progress in Part 2, students generate query output and manipulate table data and structure. Students create indexes on table columns and mark the beginning of the skills needed to analyze transactions.
A unique way to blend the best of both worlds is by choosing one of the hybrid programs offered by Certstaffix Training. The Data Science classes available here are taught remotely, but you can opt to attend them at a designated computer lab.
Taking virtual Data Science classes from anywhere you choose is a great opportunity for busy people. Students can take classes from the comfort of their home or office, and they have the benefit of not having to fight traffic to get to a dedicated classroom. The courses are live, and the instructor answers your questions in real time during class. Students can even choose to share their computer screen with the instructor for further assistance.
Students can enroll in Noble Desktop’s ||CPN411||, offered for those looking for a comprehensive education in data visualization, machine learning, statistical analysis, and the fundamentals of SQL and Python. They’ll come away with a strong and wide-reaching ability to apply the basics of a range of data science subjects.
For additional options for learning Data Science, students can find courses offered by NYIM Training or have a look at other live online Data Science courses at NYC Career Centers.
A fantastic opportunity for high school students who want to build skills in Data Science is to take a summer course offered by NextGen Bootcamp. NextGen has several data science classes for high school students.
For students ready to commit to a fast-paced, hands-on immersive experience that covers a wide range of Data Science learning, there are Data Science bootcamps in Virginia just for them.
To delve into the world of Python as it relates to data science, there is Noble Desktop’s Python For Data Science Bootcamp. When you enter this class, which is focused on real-world skills, you’ll be put right to work, picking up Python fundamentals and transitioning into analyzing datasets. You’ll learn how to clean and combine data and generate useful statistics and visualizations. By the end, you will focus on using linear regression to extrapolate data and make predictions.
An overview of Noble’s ||CPN509|| shows how students will learn the fundamentals of Python so they can pull, clean, analyze, visualize, and eventually predict financial data. Students will be prepared for entry-level positions in data science through the bootcamp’s fast, immersive, and comprehensive pace, and even students who already have some experience in this area will come away with their skills upgraded in data science for the financial world.
The Python Data Science and ||CPN633|| covers programming fundamentals and analysis with Pandas, NumPy, and Matplotlib. Students will also learn how to apply regressions and other statistical analyses to create predictive models.
If you’re looking for an in-person bootcamp, check out the University of Richmond, which offers a 24-week bootcamp for prospective Data Analysts and Data Scientists.
You and your team can upskill with Noble Desktop’s live onsite Data Science corporate training at your location. An expert Noble instructor will work with you to tailor your program at your business or can set up a live virtual training session on a teleconferencing platform such as Zoom.
If you’d like your staff to be able to take a Data Science class on their own by attending one of Noble Desktop’s open enrollment classes, vouchers are available and there are discounts for purchases of multiple vouchers. For more information, contact Noble Desktop.