Data skills are essential across nearly every profession. From marketing and finance to operations and HR, professionals are expected to understand the corporate and market data, identify patterns, and drive better decisions.
AI is accelerating this use of data by making analysis faster and more accessible, but it also creates a new responsibility: people must know how to question, validate, and interpret AI-generated outputs.
Wawiwa’s data analysis programs and courses help people build practical skills in working with data, using analytical tools, communicating insights, and applying AI responsibly throughout the analysis process.
For colleges, universities, and training centers, offering data analysis education prepares students to meet employers’ expectations across professions and industries.
Bring Wawiwa’s data analysis Programs, Courses, and intensive Sprints to your educational institution and students. Your institution can offer them as practical programs integrated into academic degrees, continuing education programs, or career-oriented tech bootcamps.
What’s the difference between a Wawiwa Program, Course and Sprint? Read here.
Wawiwa programs are comprehensive, career-focused learning experiences that last several months and prepare people for a specific profession, with no prior experience required. Alongside practical technical training, students develop soft skills, complete hands-on projects, and receive career-readiness support designed to improve their employability. After completing a Wawiwa program, students are job-ready for their chosen profession. More than 70% of Wawiwa graduates land a job within two months of completing their program.
6-9 Months | 340 Hours
Wawiwa’s AI Data Analyst Program prepares participants to turn complex data into clear insights that support better business decisions. Students gain hands-on experience with SQL, advanced Excel, Power BI, Python, data visualization, dashboards, and introductory Big Data concepts. Throughout the program, they also learn to use AI and large language models to support analysis, while developing the critical thinking needed to question assumptions and validate results. By completing practical projects based on real-world data challenges, students build a professional portfolio and develop the skills required for Data Analyst and Business Intelligence roles.
Wawiwa’s data analysis courses are designed for professionals who want to add practical AI and data capabilities to their existing skill set and apply them in their day-to-day work.
20 Hours
Wawiwa’s AI and Data Workshop for Managers equips managers and decision-makers with the skills to confidently work with data, dashboards, and AI tools – without needing to write code. Through hands-on exercises, discussions, and real-world case studies, the workshop strengthens analytical thinking, improves the ability to interpret reports and dashboards, and helps managers collaborate more effectively with data teams while using AI in the decision-making process.
35 Hours
Wawiwa’s Advanced Excel Skills Course helps participants use Excel more effectively for administrative, business, and data analysis tasks. Students learn to organize and analyze data, build formulas, apply filtering and sorting, use functions such as IF and VLOOKUP, and handle errors. The course also covers conditional formatting, What-If Analysis, pivot tables and charts, slicers, and dashboards, enabling participants to present complex information in a clear, accessible format.
100 Hours
Wawiwa’s SQL Foundations Course trains participants to work confidently with relational databases and extract meaningful insights from large datasets. Students learn to create, retrieve, update, filter, group, and analyze data using SQL queries. The course covers core topics, such as built-in functions, subqueries, window functions, data normalization, temporary tables, stored procedures, and data manipulation and definition languages.
60 Hours
Wawiwa’s Python Course for Data Professionals teaches participants to use Python for practical data manipulation, analysis, and visualization. The course begins with programming fundamentals and progresses to working with Pandas, importing and organizing data, filtering and sorting records, grouping and aggregating information, and merging datasets. Students also learn to create data visualizations with Matplotlib and Seaborn, developing hands-on skills for working with data.
30 Hours
Wawiwa’s Power BI: Data Visualization and Analysis Course prepares participants to transform data into interactive visual reports and dashboards. Students learn to connect data sources, prepare data with Power Query, create calculations using DAX, and present findings through basic and advanced charts. The course also covers filters, hierarchies, aggregations, calculated fields, and dashboards, giving participants practical experience with real-world datasets and one of the most widely used tools in data analysis.
Wawiwa’s Sprints are short, intensive learning experiences designed for young adults who want a practical introduction to data analysis. Over several weeks, participants explore core concepts, work with industry-relevant tools, and get a taste of what the field is like. Sprints are ideal for people who want to discover whether data analysis is the right fit for them, build foundational skills, or simply explore a new area before committing to a longer program.
4-Week Bootcamp | 120 Hours
Wawiwa’s Data Analysis Sprint gives young adults a practical, four-week introduction to the world of data analysis, with no previous experience required. Participants learn the foundations of SQL, Excel, Power BI, Python, Big Data, and machine learning while working on hands-on exercises and a final project. By the end, participants can turn raw data into insights, demonstrate their new skills through a project, and make a more informed decision about pursuing further studies or a career in data analysis.
Head of Data Analysis Programs
Talia has over 10 years of experience in the IT industry, having held the roles of Product Manager, Project Manager, and Data Solutions Manager, where she specialized in data analysis in addition to her other responsibilities.
She is a lecturer at Bar-Ilan University, where she directs the BI Developer course and teaches Data Science. She also lectures at Ono and serves as academic director and lead lecturer of the Data Analyst track at G-Academy.
Talia is an expert in various development tools, including SQL, Python, Excel, and uniPaaS.
We can develop stackable credential pathways from selected courses and modules, with content, duration, and delivery adapted to your institution’s needs.
Curious about what makes our Data Analyst Program so unique? We interviewed Talia Morchi, the head of our Data Analysis Programs, and she revealed the secrets to our success. Discover why data analysis is so important, the latest trends in
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Wawiwa is a global education provider focused on skilling the world for AI. Through partnerships with colleges, universities, and training centers in the U.S. and around the world, Wawiwa helps educational institutions launch local AI reskilling programs and upskilling courses quickly and effectively. Our proven JET Design™ (Job-Effective Training) methodology sets us apart. All programs are live (face to face or online) and instructor-led, with a heavy emphasis on hands-on practice, real-life projects, and industry alignment. Combined with always-up-to-date curricula, robust learning technology platforms, and education business know-how, Wawiwa’s approach delivers measurable results: quick launch of workforce-aligned programs and courses that result in employability, productivity, and AI adoption.
