Develop practical analytical capabilities through structured courses designed for Tokyo's business professionals
DataFlow courses combine structured instruction with hands-on practice using real business datasets. Each program builds progressively from fundamental concepts to advanced applications, ensuring participants develop both theoretical understanding and practical implementation skills.
Carefully sequenced content ensures proper foundation building and progressive skill development throughout each program.
Every session includes practical exercises using business datasets, reinforcing concepts through direct application and problem-solving.
Learn from professionals with active analytical practice who bring current industry perspectives to their teaching.
Develop core competencies in analyzing business data for strategic decision-making. This program covers statistical methods, hypothesis testing, and regression analysis using real business scenarios.
Master the art and science of presenting complex data through compelling visual narratives. This course teaches principles of visual perception, color theory, and information design fundamentals.
Learn to forecast future trends and behaviors using statistical modeling and machine learning techniques. This comprehensive program covers time series analysis, classification algorithms, and clustering methods.
Compare our programs to determine which course aligns with your professional development goals
Start with Business Analytics Foundation if you are new to analytical work or need to strengthen fundamental statistical and database skills. This course provides the foundation for more advanced programs.
Choose Advanced Data Visualization if you already perform analytical work but need to improve how you communicate findings. This program is valuable for anyone presenting data to non-technical audiences.
Pursue Predictive Analytics Methods if you want to develop forecasting and machine learning capabilities. This course builds on foundational skills to address forward-looking business questions.
Many participants complete multiple courses over time, progressing from foundational skills to specialized capabilities. Our instructors can provide guidance on course sequencing based on your background and objectives.
All courses utilize industry-standard software and platforms. Participants receive access to necessary tools during the training period. We emphasize tools commonly used in Tokyo business environments.
Comprehensive materials support each course, including datasets, code examples, and reference documentation. All materials remain accessible after course completion for ongoing reference.
DataFlow maintains rigorous standards for instructional quality and curriculum currency. Course materials undergo regular review to incorporate new methodologies, updated software features, and emerging industry applications. Instructor qualifications include advanced degrees in quantitative fields and active professional practice in analytics. Class sizes are limited to ensure adequate individual attention and meaningful peer interaction during sessions.
Complete Business Analytics Foundation followed by either Data Visualization or Predictive Analytics. This sequence ensures strong foundational skills before specializing.
Combined investment for two courses
Participants who complete multiple courses develop comprehensive analytical capabilities applicable across various business contexts and analytical challenges.
Progress through all three courses over an extended period. Develop proficiency in statistical analysis, visual communication, and predictive modeling.
Combined investment for all three courses
This comprehensive approach builds a complete analytical skill set, positioning participants for senior analytical roles or specialized data science positions.
Courses can be completed sequentially or with gaps between programs based on your schedule and professional commitments. Many participants space courses several months apart to apply learned concepts in their work before advancing to the next program. Our instructors can provide guidance on optimal course sequencing based on your background and professional development objectives.
Classes meet once or twice weekly in the evening (typically 6:30-9:00 PM) or on weekends (Saturday mornings or afternoons). This schedule accommodates working professionals who cannot attend during business hours.
Each session combines instructor presentation with hands-on practice. Participants work individually and in small groups on exercises using provided datasets. Between sessions, participants complete assignments to reinforce concepts and build proficiency.
Business Analytics Foundation requires no programming background. We introduce R programming concepts gradually within the context of analytical tasks. Participants with no coding experience successfully complete this course.
Data Visualization assumes basic familiarity with analytical concepts but teaches visualization tools from fundamentals. Predictive Analytics Methods expects participants to have completed Business Analytics Foundation or possess equivalent statistical and programming knowledge.
Participants need a laptop computer capable of running required software. We provide temporary licenses for commercial software (Tableau, Power BI) during the course period. Open-source tools (R, Python, RStudio) are freely available.
Detailed technical requirements are provided upon enrollment. Most modern laptops (Windows, Mac, or Linux) meet these requirements. We assist with software installation during the first session if needed.
We maintain maximum class sizes of 15-18 participants. This enables instructors to provide individual attention and feedback while supporting peer learning through group exercises.
Smaller cohorts facilitate meaningful discussion of analytical approaches and business applications. Participants often report that peer interaction enhances their learning experience through exposure to different industry perspectives.
Participants who complete all course requirements receive a DataFlow certificate documenting the specific program completed. These certificates detail covered topics and demonstrated competencies.
While our certificates are not formal academic credentials, many participants include them on professional profiles and resumes. Employers familiar with DataFlow recognize our training quality and practical focus.
Many participants receive employer support for professional development. We provide detailed course descriptions and learning objectives to support internal approval processes.
Organizations interested in training multiple employees may contact us regarding group enrollment arrangements. We have experience working with corporate training budgets and can provide necessary documentation for reimbursement requests.
We understand that work commitments occasionally conflict with class schedules. Session materials and recordings are made available to participants who must miss a class.
Instructors can provide brief guidance during office hours to address missed content. However, regular attendance is strongly encouraged as hands-on practice and peer interaction are integral to skill development.
Contact our team through the form on this website or by phone to discuss course options and upcoming session dates. We can provide guidance on course selection based on your background and objectives.
Once you select a course, we provide registration materials and payment instructions. Course fees are due before the first session. Space is limited, so we recommend registering early to secure your place in the cohort.
Contact DataFlow to discuss which course aligns with your professional development goals and current analytical capabilities