Data Science Crash course for Business
Leaders today manage organizations operating in highly complex, dynamic, and globally competitive business environments. In this age of data, the world is becoming more data-driven by the day. Scientific data analysis has become all-pervasive, making it one of the fastest-growing and most profoundly essential fields in management. Managers need to learn how to interpret their data to make decisive decisions. Operational data must maximize your impact while reducing the work required to achieve strategic objectives. The ability to use internal and external data is a skill that must help us to solve business problems and avoid the insanity of repeating the same action while expecting different results. Only organization leaders with a razor-sharp capability to consume and interpret data-rich environments and precisely translate that into strategic, operational decisions will successfully command future industry leadership and competitive dominance. Our world-class offering is designed for business professionals seeking to be agents of transformative change within their organizations
At the end of this course, learners will gain the ability to:
A. Learn the modern way to extract data from relational databases.
B. Learn modern ways to explore, prepare and assess the quality of the data using Python and present data using Tableau.
C. Learn how to use basic to advanced analytics techniques for business forecasting, recommendation, and customer segmentation.
D. Quickly and easily use actionable insights to improve decision-making.
Course Target Group.
Understanding how data science techniques can be applied to influence successful strategic decision-making is crucial for every analyst in any modern-day organization. This training course is essential for professionals with an interest in data science and could be well suited for:
E. All business professionals.
• SQL, Tableau, Python/R, Postgres
This training course will combine instructor-led presentations with interactive discussions between participating delegates and their interests. It is presented very hands-on to suit individuals with varying levels of knowledge and experience. In addition, practical exercises, video material, and case studies will stimulate and support these discussions to maximize the participants. Above all, the course facilitators will extensively use case examples and case studies based on real-life strategic issues and situations in which he has been personally involved
Week 1: Data extraction & data inventory assessment using SQL.
Week 2: Exploratory data analysis using Tableau & Take-home project
Week 3: Introduction to data analytics models using Python & Take-home project
Week 4: Machine learning (Predictive, associative & segmentation models) & Capstone project
Follow up procedure
We follow up with the learners within one month after training to ensure the impacted skills are practiced.
Course Duration, Location & Investment
Duration: 4 Weeks (4 Hours per week).
Venue: Remote (Evening Classes & Weekends).
Investment: Ksh 23,000 per head / Ksh 40,000 for groups of 2
If you have any interest in this, please register to book your place with us, thank you!