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.
As one of the fastest-growing fields in tech, data analytics is the process of drawing conclusions based on the analysis of raw data and is used to study productivity, profit and loss, and production, among countless other applications. To excel in data analytics, students must understand mathematics and programming, and also have subject matter expertise. Languages to be familiar with include R and Python, plus Excel, Tableau, and Power BI to interpret and present data. Securing these skills will propel a data career exponentially.
Data Analysts gather, process, analyze, and visualize data from financial institutions, businesses of all sizes, governments, and nonprofits to offer a range of insights. Data Analysts are often responsible for making and informing business and financial decisions. Analyst specialization includes business, marketing, digital, finance, investment, and research, with each utilizing different tools according to their niche.
Data is everywhere. As long as there is data to interpret and decipher, there will be a need for Data Analysts. Choosing a career in data will set a person up for long-term job security with ample room to grow into higher positions. Analyzing data offers a perspective on the world that few other professions offer. In addition, learning data analytics opens up doors for lateral moves into roles in data science, data engineering, and data architecture.
Boston offers a number of job opportunities for Data Analysts, with many companies across industries actively hiring for analytics roles. Firms like MassMutual and Liberty Mutual Insurance are known to offer competitive salaries for this role. The tech startup scene and life-sciences companies—including Dotmatics in Boston—also present opportunities where analytics meets research and development. Boston boasts a robust startup scene that keenly supports the use of Data Analysts in innovative companies in AI, FinTech, sales analysis, genomics, and data sourcing. It offers a variety of job opportunities in data analysis.
Positions for Data Analysts are constantly emerging. Considered the eyes and ears of data-driven organizations, Data Analysts play a fundamental role for companies in data science, finance, marketing, and business, but data science can be applied to any industry, from healthcare to entertainment to agriculture. However, taking a data analytics course alone won’t necessarily secure an analyst position. Job-seekers need to learn all they can about data, data science, and best practices in the industry to kickstart their data analytics career.
Analysts in Boston enjoy lucrative salaries, generally higher than the national average. According to Glassdoor, a Data Analyst in Boston earns about $75,000 a year, while a Business Analyst makes about $80,000. Digital Analysts in Boston make about $70,000.
According to a recent LinkedIn article, data analysis is one of the top ten most in-demand skills for employers. The U.S. Bureau of Labor Statistics (BLS) provides job projections for many different careers, including data analytics, which it groups with data science. The BLS reports that the employment of Data Scientists is expected to grow by 36 percent in the next ten years. This is much faster than the average job growth rate of only 5 percent.
Noble Desktop hosts live online data analytics classes taught by industry professionals based in New York City. Students can master data analytics tools individually or include them together with a live online data analytics bootcamp. Its Data Analytics Certificate covers an extensive array of topics within the data analytics domain. The program’s curriculum provides a balanced mix of theoretical foundations and practical application, teaching students how to collect, clean, analyze, and visually present data. It delves into sophisticated areas such as predictive analytics, which focuses on identifying future trends, and prescriptive analytics, which helps formulate solutions to specific issues. The technical aspects of the program include the use of Python for data manipulation and machine learning, Excel for spreadsheet analysis, SQL for database management, and Tableau for data visualization.
Beyond the core curriculum, the program includes eight personal mentoring sessions, which are instrumental in enriching the learning experience. These sessions are tailored to support students in their career progression, whether it involves polishing resumes, building impressive portfolios, or delving into complex subjects. Additionally, the program incorporates various projects that provide hands-on experience and contribute to a professional portfolio, showcasing the students’ capabilities to future employers. In essence, the program is crafted to offer a robust educational experience that lays a strong foundation in data analytics, complemented by personalized mentorship, to nurture both personal growth and career readiness.
For teens or recent high school grads interested in kickstarting a data analytics career, NextGen Bootcamp features live online summer data analytics classes catered to high school students. These classes are specifically designed for high schoolers and take place during the summer months. The Python Data Science & Machine Learning Program is founded on the belief that early education in programming, data analysis, and logical reasoning is essential. Notably flexible in its structure, the program offers participants the choice to engage in sessions either in-person at NextGen’s Manhattan location or live online from any place, ensuring accessibility and convenience. Instruction is delivered in real-time, allowing for immediate feedback and personalized guidance from knowledgeable educators. This course lays down a broad base of skills, creating a strong platform for future studies in computer science.
Starting with the core principles of Python, a language that holds a significant stake in the tech industry, the curriculum is thoughtfully crafted to take students from basic coding proficiency to hands-on experience with databases and real-world case studies. As the course advances, students explore database management and data analysis using Python, before transitioning to the intricate world of machine learning. In this part of the program, students learn about machine learning algorithms’ underpinnings, enabling them to develop elementary algorithms and apply machine learning to straightforward tasks. Serving as an ideal launchpad for those new to the field, the program equips students with the necessary skills to navigate the evolving landscape of data science and computer science.
For companies that are considering upskilling or reskilling a corporate team, Noble Desktop offers onsite and online corporate data analytics training. There are several training options. Employees can receive private training at Noble’s Manhattan location, have expert teachers come to their office, or meet up virtually via a teleconferencing platform. Course content can be curated to the needs of any team and schedule. Companies can also choose to buy discounted vouchers for group classes for employees to take one of Noble’s fixed-schedule open enrollment classes. Feel free to send Noble Desktop an email for answers to questions about corporate training.