Corporate Training

Maximize the performance of your staff with our corporate training.

Empower your staff with the tools to improve their creativity, efficiency and problem solving skills. In an ever changing and competitive business would. Your staff being able to spot problems or opportunities from your business data might be what you need to push the competition over the edge.

We offer two kinds of training packages, the first is the business data analyst. This involves learning all the tricks of the data science trade and implementing them with the lingua franca of the corporate world – MS Excel. This training course is best for business executives with zero background in programming who need to make smart business decisions or suggestions based on the data available.

The second is advanced data analysis and is for the technically minded who are already familiar with programming and wish to expand their knowledge base with the art of Data Analytics. This courses focuses on data analysis with either R or Python. Two very good tools with a large ecosystem.

Executive Data Analysis

In this course you would learn how to frame business questions as data analytic questions. You would also learn how to use everyday business tools like Excel, Tableau and MySQL to tackle critical business challenges.
Prerequisites: Business background and competence with Microsoft Office tools.
Duration: 2 weeks (Working days, 8am – 4pm)

Course Outline:

Section Title
Part I Business Metrics for Data-Driven Companies
Part II Mastering Data Analysis in Excel
Part III Data Visualization and Communication with Tableau
Part IV Managing Big Data with MySQL
Part V Harnessing Data Analytics: Real world solutions

Technical Data Analysis

This course is for experienced programmers who wish to include data analytics skills into their programming repertoire. You would learn to use either R or Python and their packages to perform a complete data analysis project. The class concludes with the building of a data product from scratch. This course can be taken in either R or Python, as per request.
Prerequisites: Basic competence in Algebra and Statistics. Programming experience
Duration: 2 weeks (Working days, 8am – 4pm)

R Course Outline:

Section Title
Part I RStudio & R Syntax
Part II Exploratory Data Analysis
Part III Developing Regression Models
Part IV Machine learning
Part V Developing Data Products with Shiny

Python Course Outline:

Section Title
Part I Python & Panda Syntax
Part II Exploratory Data Analysis
Part III Developing Regression Models
Part IV Machine learning
Part V Developing Data Products with Python

Trainings don’t end once the program ends. Our trainers keep an open a line of communication between themselves and the students for a lifetime of mentorships. Previous students can always call or sends emails if they are stuck on a stubborn project. Their former teachers are always open to help.

Contact for Pricing, Scheduling