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.
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, programming, and 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, financial, 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. As well, learning data analytics opens up doors for lateral moves into roles in data science, data engineering, and data architecture.
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.
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. 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 (the 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.
Data analytics is not an easy topic to learn alone. Students can get the instructor's support, feedback, and accountability necessary to succeed in data analytics by taking classes in-person. In Boston, there are many different data analytics course options to choose from.
General Assembly offers tech, design, data, and business classes, and has a classroom in downtown Boston. Its ||CPN396|| is designed for beginners, and takes multiple weeks to complete. Students in this class learn a wide range of data analytics skills, including data collection, cleaning data, analyzing, and common tools such as Excel, SQL, and Tableau. General Assembly also offers an immersive data science course, and a part-time data science course. These classes use a hands-on, blended learning model to teach students the skills they need for a career in data science, including tools like Python, GitHub, and Pandas.
Ledet Training has facilities across the United States, including in Boston, about a half hour from downtown. It offers several data analytics training classes. Students will find Excel courses at beginner, intermediate, and advanced levels. There are also several options for learning Tableau. The Tableau 101 Training Course is for beginners and covers foundational topics such as importing data from multiple sources and using Tableau interfaces. Tableau 201–Tableau Advanced Training Course is focused on more advanced features such as sets, groups, reference lines, forecasting, and mapping. Students who are interested in learning both beginner and advanced skills can enroll in the ||CPN848||, which is a fast-paced class that covers the skills from both Tableau 101 and 201.
New Horizons is another place to learn data analysis in Boston. Founded in 1982, this school provides IT and career training in more than 30 different countries. It has a Boston location about twenty miles from downtown, with easy freeway access and plenty of parking. New Horizons provides instruction in Excel, SQL, Tableau, and Python. SQL Querying Fundamentals–Part 1 is a short beginner class that covers making a simple query, using functions to perform calculations on data, retrieving data from multiple tables, and exporting query results. SQL Querying Fundamentals–Part 2 is a more advanced class where students learn about manipulating table data and structure, working with views, indexing data, and managing transactions. Another New Horizons option is Introduction to SQL Databases, where instructors combine labs and lectures to help students learn about data modeling, normalizing raw data, and using relational databases.
For Excel, New Horizons offers three short courses: beginner, intermediate, and advanced. Students who want to learn Tableau will find a beginner option, and a more advanced option. There are also two Python classes. Data Wrangling with Python is focused on data analysis tools such as NumPy and Pandas, while Python with Data Science is intended for software developers, IT architects, and data scientists, and focuses on theoretical and technical aspects of Python.
Students who don’t want to learn in-person can consider getting data analytics training live online. This setting allows the freedom to attend from a comfortable location, with the same instruction, feedback, and accountability as in-person classes.
Noble Desktop, the curator of this online tool, hosts live online data analytics classes taught by industry professionals based in New York City. Students can master data analytics tools individually or engrain them together with a live online data analytics bootcamp.
Noble also offers comprehensive certificate programs, which take multiple weeks to complete, and include one-on-one mentoring sessions where students can get resume and career advice. The ||CPN395|| is intended for anyone interested in becoming a Data Analyst or a Business Analyst. Students in this class learn data analytics skills while working on real-world projects. Another option is the ||CPN411||, which is intended to prepare students for entry-level positions in data science and Python engineering. It covers the fundamentals of programming, creating machine learning models, and building dashboards and other visualizations.
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.
Data analytics is a heavy topic to master alone. Students who are dedicated to getting the most out of their training should consider an immersive data analytics bootcamp in Boston. Bootcamps are generally more accelerated than other types of classes and are designed to get students ready to use their new skills immediately. They are popular with students who want to upskill or transition to a new career.
General Assembly and Ledet Training offer data analytics bootcamps in the Boston area. Ledet Training’s ||CPN655|| is a multi-day course that is designed to help students who want to use Excel for data analysis. It covers beginner concepts, followed by more advanced skills like PivotTables, data validation, and LOOKUPs. General Assembly offers a class called ||CPN415||, which is designed for students interested in a data career. The curriculum includes Python programming, GitHub, machine learning tools, and statistical modeling and regressions.
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 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 on Noble’s fixed-schedule open enrollment classes. Feel free to send Noble Desktop an email for answers to questions about corporate training.
Noble Desktop:||CPN395||
Noble Desktop, a distinguished school based in New York City, offers a live online ||CPN395|| program that 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.
General Assembly:Data Analytics Bootcamp
General Assembly is well-regarded for its broad and in-depth educational offerings, including a full-time Data Analytics Bootcamp with a focus on practical and ethical data analysis skills. This intensive program trains participants in the nuances of data acquisition, cleansing, analysis, and visualization, ensuring they gain proficiency in statistical and mathematical concepts alongside responsible data management practices. The bootcamp leverages industry-standard tools such as Power BI, Python, Tableau, and Excel, equipping students with a diverse skill set that meets the current market needs in data analytics. A capstone project anchors the program, giving students the opportunity to apply their learning in a real-world scenario.
What sets General Assembly's bootcamp apart is the personalized career coaching provided. Each student receives tailored support aimed at navigating the job market with greater confidence. Career coaches offer individualized advice, highlight job opportunities, and assist in setting clear professional goals. They also help in honing job search strategies, crafting resumes, preparing for interviews, and networking effectively. With this comprehensive approach, General Assembly's Data Analytics Bootcamp combines rigorous technical training with dedicated career services, offering a complete educational experience that prepares students for a successful transition into the world of data analytics.
NextGen Bootcamp:Python Data Science & Machine Learning Program
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.
MIT:Applied Data Science Program: Leveraging AI for Effective Decision-Making
MIT's Applied Data Science Program: Leveraging AI for Effective Decision-Making is a dynamic, 12-week live virtual course designed to transform professionals into data-driven decision-makers. Taught by MIT faculty, the program immerses participants in AI and ML through hands-on projects and comprehensive mentorship by industry experts. The curriculum covers a wide range of topics, including Python programming, machine learning, neural networks, deep learning, artificial intelligence, recommendation systems, and the latest insights into ChatGPT and Generative AI.
Live weekly sessions ensure interactive learning with MIT professors, while personalized mentorship from Great Learning provides support for both academic and professional development. Participants will also build a substantial data science portfolio by working on six projects directly tied to the course material, culminating in an intensive three-week capstone project. This program equips professionals with the knowledge and practical experience to leverage AI for effective decision-making in their current and future roles.
Boston Institute of Analytics:Data Science & Artificial Intelligence
The Boston Institute of Analytics offers a comprehensive Data Science & Artificial Intelligence Program, meticulously designed to provide professionals with the expertise needed to excel in the analytics field. Over four months, during weekends, the program covers a wide spectrum of foundational and advanced topics, starting with the key concepts of analytics and modeling techniques, and diving into Python/R computing, machine learning, statistical concepts, BI dashboarding tools, and their applications in real-world business scenarios.
The program includes practical exercises in software tools setup, data cleaning with Excel, Python programming, SQL querying, and the use of BI tools like Power BI and Tableau for data visualization. It also explores machine learning and deep learning, NLP, text generation with RNNs, and model deployment, culminating in a certification that demonstrates a deep dive into data science and AI. Students will gain hands-on experience through various projects, and they will also become proficient in Power BI and Tableau, enhancing their ability to transform data into interactive dashboards. This intensive program is an ideal path for those seeking to master data science and AI to drive effective decision-making and innovation in their careers.
Suffolk University:Online Data Analytics Bootcamp
The Online Data Analytics Bootcamp from Suffolk University is a dynamic six-month program designed to jump-start careers in data analytics. Completely online and open to individuals without prior experience, the bootcamp readies graduates for immediate entry into the job market. In this program, students immerse themselves in a range of topics. They delve into the essentials of data modeling, storytelling, and business analytics, while also mastering pivotal programming languages such as Python and SQL. The curriculum extends to proficiency in widely-used data analysis and visualization tools, including Excel and Tableau, and introduces students to the intricacies of data processing and management with relational database management systems (RDBMS), extract, transform, load (ETL) processes, and data engineering.
A key feature of the bootcamp is the Capstone project, which mimics a real-world scenario. Here, students engage in data-driven analysis and strategic planning for a hypothetical business case, providing a practical showcase of their newly acquired skills to prospective employers. This project not only consolidates the students' learning but also serves as a vital portfolio piece, demonstrating their readiness for the data analytics field. This comprehensive program is structured to ensure that graduates are not only knowledgeable but also practically equipped to tackle the challenges and opportunities in data analytics.
UMass Boston:Business Analytics Certificate
UMass Boston's Business Analytics Certificate offers professionals the opportunity to enhance their analytical capabilities, focusing on the impact of business and data analytics and the essential technologies for their effective application. This program is tailored for individuals aiming to enrich their expertise in business and data analytics, learn cutting-edge skills, and obtain a valuable certification to bolster their résumé. Designed with a practical approach, the certificate equips participants with the necessary skills to implement, analyze, and manage data technologies, driving businesses across various sectors towards their strategic objectives.
The importance of business analytics spans all industries, becoming a key factor in operational and strategic decision-making. The certificate program facilitates the integration of business analytics into core business processes, providing a competitive edge for professionals. UMass Boston offers the flexibility to continue education beyond the certificate, with options to pursue an MBA with a specialization in business analytics or further graduate studies in Business Analytics MS or Information Technology MS. With one of the lowest online tuition rates from an accredited, public research university, UMass Boston's online programs provide the authenticity of on-campus courses with the convenience of flexible scheduling, making it a prime choice for full-time or part-time study.
Digital Workshop Center:Python ||CPN411||
The Digital Workshop Center offers a Python ||CPN411|| program delivered live online to equip students with the skills necessary for a career in data science. Instructors lead the program in real-time, providing extensive guidance and support. Students benefit from a full suite of career mentorship services, training in essential data science techniques, and opportunities for career advancement through coaching and networking. A partnership with Parker-Dewey provides students with micro-internships, offering hands-on experience in actual business environments. The educational journey culminates with a capstone project, showcasing each student's data science expertise.
Starting with the basics, the curriculum introduces students to data science and Python programming, making it suitable for those with no previous experience in Python. As students progress, they delve into practical applications of Python in data science, learning about database management and advanced machine learning algorithm development. The course equips students with the analytical and programming skills needed in the data science field and imparts an understanding of data's critical role across various sectors.
Northeastern University:Undergraduate Certificate in Analytics
Northeastern University offers an Undergraduate Certificate in Analytics designed to develop practical data analytics skills and a foundational understanding of data literacy that's vital in today's data-driven world. This program, adaptable for professionals across any industry, focuses on equipping students with practical project data analytics skills, data structure and management, statistical literacy, and analytical thinking. It delves into programming and data visualization tools that are in high demand such as R, Python, Tableau, Qlik, and Power BI.
The certificate's structure is both convenient and flexible, allowing for full-time or part-time enrollment with classes available on-campus in Boston or through a combination of online and on-ground formats. As a stackable credential, credits earned can be applied towards a BS in Analytics or BS in Information Technology at Northeastern, providing a seamless pathway for further education. Graduates of this program will be well-prepared for entry-level roles in various industries, from business to healthcare, and for integrating analytics skills into any data-centric career. The curriculum includes courses in college algebra, discrete mathematics or symbolic logic, probability, programming, intermediate statistics, communication, and visualization for analytics, with options to specialize further in data mining, web mining, or predictive analytics.
University of Massachusetts Amherst:Certificate in Statistical and Computational Data Science
The Certificate in Statistical and Computational Data Science at UMass Amherst is a Master's-level program that merges key elements of statistical skills, computer science, and domain expertise. Offered jointly by the Statistics and Computer Science departments, it focuses on training students in statistical methods, computing, machine learning, and algorithm development. The curriculum is designed to prepare students to become adept data scientists, capable of handling complex data management, evaluation, and analysis tasks across various sectors.
This five-course program is accessible to both graduate matriculated students and post-graduate non-degree students who meet specific entry prerequisites. It includes a bridge course, particularly for newcomers to programming, focusing on Python, a vital language in data science. The coursework encompasses a broad range of topics such as machine learning, natural language processing, algorithms for data science, and data visualization, along with several advanced statistical analysis techniques. To ensure a thorough understanding and proficiency, students are required to achieve a minimum grade of "B" or better in all courses. This program is especially suited for professionals aiming to expand their data science capabilities and for graduate students who wish to supplement their academic qualifications with in-depth knowledge in data science.