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.
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.
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 fundamentals of machine learning, including regression analysis and classification algorithms, in this practical, hands-on course. Gain the skills needed to solve real-world problems using machine learning, with a focus on Python programming and data science libraries.
Automate and enhance the data analysis process with artificial intelligence (AI). In this course, you'll learn how to utilize AI tools to collect, preprocess, analyze, visualize, and interpret data without the need for extensive coding knowledge.
Learn to gather, manipulate, and analyze real-life data in this course, where you'll gain hands-on experience with Python's NumPy and Pandas libraries. Develop your data visualization skills using Matplotlib, Seaborn, Plotly, and Dash Enterprise, and complete real-life projects that can be deployed online.
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.
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.
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.
The finance industry is one of the most common places for data analytics professionals to find work. It’s central to how firms and financial institutions operate, being part of fraud protection, customer behavior analysis, and regulatory financial reporting. Financial Analysts working at HSBC and Barclays will use their skills to improve the internal working of the finance company, but also how consumers interact with the financial services, products, and the institution itself.
In the tech industry, data analytics is everywhere. Major tech companies like DeepMind, which is owned by Google and headquartered in London, use data analytics extensively. Data analytics is used in machine learning model training and A/B testing. It’s also helpful in consumer analysis to see what is working with products and what consumers want to see more of in future updates.
The retail industry is one of London’s largest, with major retailers like ASOS and Tesco headquartered here. Data analytics is a vital part of this industry for several reasons. First, data analysis provides more insight into sales, trends, and consumer behavior, which in turn gives businesses ideas for how to improve everything from marketing campaigns to internal operations. It’s also useful for the logistics side of operations, like managing inventory and supply chain management.
Analytics supports the healthcare industry in numerous ways, both internally and for patient outcomes. It’s used by NHS England and a slew of other healthcare-related entities for patient analysis and public health data. It’s a key way to improve the daily operations within a hospital or healthcare company, and assist with research processes and patient care.
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. Here is a general salary range for data analytics careers in London:
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.
If you’re serious about learning data analytics, an intensive bootcamp or certificate from Noble Desktop 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.
Their flagship program, the Data Science & AI Certificate, offers training in everything from Python fundamentals to machine learning algorithms in a 114-hour immersive experience. Similarly, the 156-hour Data Analytics Certificate is a deep dive into the world of analytics and covers analytics, visualization, and statistical analysis.
London residents can also benefit from the Python for Data Science Bootcamp from Noble Desktop. It’s a 30-hour bootcamp that discusses the most useful ways to utilize Python in the data science world. The 51-hour Data Analytics Technologies Bootcamp is another key alternative, providing SQL, Tableau, and Excel training. Additional data analytics programs include a separate FinTech Bootcamp, Excel Bootcamp, and Tableau Bootcamp. Check listings for more detailed information.
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 Machine Learning Bootcamp, and Excel, SQL, and Tableau classes. Contact Noble Desktop today for a no-obligation consultation.