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.
Improve your data analysis skills with our Excel for Data Analytics class. Learn essential functions, formulas, and advanced techniques like Pivot Tables and VLOOKUP. Gain hands-on experience and optimize your workflow for efficient data analysis.
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.
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.
Gain practical SQL skills in this hands-on certification program, where you’ll learn to write queries, manage data, and analyze results using Microsoft SQL Server.
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.
Learn to clean, organize, and reshape data quickly with Power Query, a powerful tool built into Excel and Power BI. This hands-on course will teach you how to streamline your data preparation process for analysis and reporting.
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 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.
Gain practical skills in analyzing datasets, building predictive models, and creating AI-powered applications using Python and industry-leading tools.
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 Tableau for data visualization and become a certified Tableau Desktop Specialist in this hands-on certification course.
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.
Learn Power BI for data analysis & visualization and become a certified Power BI Data Analyst Associate in this hands-on certification course.
Boost your resume with a Microsoft Excel Certification. Our program offers three courses, private training, the Specialist Exam fee with free retake, lifetime access to Excel video courses, and free exam proctoring.
Prepare for the Microsoft Excel exam and become an Excel expert with our certification program. Learn formulas, functions, Pivot Tables, charts, and more through group classes, private training, and an exam with a free retake.
Data analytics is one of today’s fastest-growing fields. Business Analysts use tools like Excel and Tableau in their analysis tasks, while finance, investment professionals, and data researchers may use Python, R, and SQL for their data analysis.
Because the field is so wide open, many tech professionals are involved in using data analysis as part of a team. Digital Analysts, Marketing Analysts, and Research Analysts may have vastly different positions in a variety of sectors.
Fields like finance, data science, and marketing all benefit from the experience of Data Analysts, but you must have specialized knowledge for the best-paying positions. For that reason, it pays to take courses in specific tools like Python, SQL, and Tableau if you plan to pursue a data analytics career.
With its numerous tech startups, large finance companies, and high-flying marketing agencies, London offers many opportunities for careers where data analytics plays a major role. Data Scientists and Data Engineers are among the most in-demand careers, but there are many others. Positions like Data Analyst, Digital Analyst, and Business Analyst are also popular here, and these address needs ranging from gathering website user data to planning major marketing campaigns.
Careers in data analytics pay well in the Greater London region. Current online job postings show the need for professionals with expertise in areas like machine learning, data engineering, and data management. Positions currently in-demand include roles like Data Engineer, Big Data Tech Lead, Platform Engineer, and Data Solution Architect.
On average, Data Analysts in London earn about £40,000 each year. The earnings are better for Data Scientists, who make closer to £60,000 annually. Data Engineers are among the highest earners in the field, with an average annual salary of about £64,000.
While you can find data analytics positions in many fields, training for these careers is often highly specialized. Consider enrolling in a bootcamp or certificate program to learn tools like Python, Ruby, PostgreSQL, R, or MongoDB so you can be at the top of recruiters’ lists.
Like the related field of data science, data analytics is such a hot growth sector that schools in many areas offer in-person training. In London, there are three that currently offer face-to-face coursework relevant to data analytics.
The first school, General Assembly, provides a variety of in-person programs, from a 1-day Data Analytics Bootcamp to multi-week Data Science and Data Analytics bootcamps. The second, Le Wagon, hosts a single in-person bootcamp, their Data Science program.
New Horizons is the third school offering in-person training that data analytics pros can use. Their Microsoft Excel classes are hosted in three single-day sessions, and they offer a separate Microsoft Office 365 workshop.
Although some students feel they need in-person training, many more choose to enroll in a live online class for their data analytics education. Virtual live courses have many advantages: they’re interactive, offering a hands-on experience like face-to-face training from the comfort of your home or office. Expert instructors can provide plenty of real-time feedback, and you don’t have to fight traffic to get there.
For virtual data analytics bootcamps or certificate programs, check out the creator of this tool, Noble Desktop. Their flagship program, the ||CPN411||, offers training in everything from Python fundamentals to machine learning algorithms in an 84-hour immersive experience.
The Data Analytics Bootcamp is another key alternative, providing SQL, Tableau, and Excel training. Additional data analytics programs include a separate ||CPN509||, Excel Bootcamp, and ||CPN848||. Check listings for more detailed information.
NYIM Training offers live online data analytics training, including an Excel for Business Bootcamp, ||CPN848||, and ||CPN834||. Comparable training is available through virtual live data analytics courses from NYC Career Centers through its Noble Desktop affiliation, including the ||CPN411|| and Python for Data Science Bootcamp.
Are you a London secondary student interested in a career in data analytics? Consider enrolling in a live online data analytics class for high school students. Current course offerings include Python Data Science, Java Programming, and Computer Science.
If you’re serious about learning data analytics, an intensive bootcamp or certificate program can help you expand your knowledge of Python, SQL, Excel, and other programs. Advanced tools like GitHub, Matplotlib, and Pandas may be required for your data analytics career path, and the immersive bootcamp model provides the experience you’ll need to succeed in this rapidly growing field.
London residents can benefit from the Python for Data Science Bootcamp from Noble Desktop; General Assembly’s ||CPN396|| or ||CPN415||; data analytics programs from Thinkful, NYC Career Centers, or BrainStation; and Data Science Bootcamps from Le Wagon or Data Science Dojo. Check course listings for more information, including any prerequisites, before enrolling.
For companies with substantial data analytics requirements, in-depth training can be crucial. If you think your team would benefit from corporate data analytics training either virtually or onsite at your location, check out Noble Desktop. They can even customize a program for your employees.
Does your team need more flexibility? Noble Desktop also offers discounted vouchers for open enrollment group classes. Featured courses include their Python for Data Science Bootcamp, Python ||CPN633||, and Excel, SQL, and Tableau classes. Contact Noble Desktop today for a no-obligation consultation.