We offer Training in : Data Science | Data Analytics | Data Science Readiness | Data Engineering | Data Science Strategy

This is so far the best training method. Inhouse training combines the apprenticeship, group, and interactive methods to meet data science needs of your organization. Through systematic inhouse training, we are able to address internal challenges facing your organization and deliver solutions right away. Some of the courses we currently offer are:

COURSES

FUNDAMENTALS OF DATA SCIENCE
Data Science is the hottest field of the 21st century. This course builds a strong foundation in data science. It is a great way for anyone to understand data science methods, tools and applications while discovering how data science can be of relevance to business. Fundamentals of data science is a unique integrated theoretical introduction to a science tailored to empowered decision making, in the context of real world data, to people across the globe forging their own path in this fast growing digital economy. While undertaking this course, participants will strongly understand data science methodology including key principles that facilitate the adoption of data science methods in ordinary business processes.

PREDICTIVE ANALYTICS
The world is in the age of analytics becoming more data driven by the day. Scientific data analysis has become all - pervasive making it one of the fastest growing and most profoundly important fields in management. In this course we combine conceptual knowledge of machine learning with extensive experience of applying it to real-world data. You will develop skills in applying Python’s scikit-learn package to make predictions by leveraging the information hidden in numerical, textual and categorical data. The emphasis is on learning hands-on techniques to maximize the predictive performance of machine learning workflows. After building a solid foundation in the Python stack, we focus on the different types of feature sources for machine learning. Intermingled with the machine learning material are short discussions and exercises to consolidate what has been learnt.

DATA AUDIT FOR DATA SCIENCE
A journey towards effective data science implementation should be preceded by a comprehensive data audit. More than 50% of all time spent in a data science project is spent on fixing messy data. Fixing this problem can be a time consuming and expensive process, but experts add that, in the end, it’s worth the investment. This course paves way for a data science project. It is an important step to evaluate all data assets, uncollected data, and missing data, duplicate data and potentially identify any database problems that may hinder accurate data utilization. While undertaking this course, participants will gain practical skills on how to plan and execute a data audit for data science project including key tools and methods that facilitate retrieval of data in preparation of a data audit for data science report.

DATA VISUALIZATION
A picture is worth a thousand words. This course is intended to help professionals create consensus between data and business. Data visualization specialization will help you present big data in an easy to understand way. Using advanced visual interfaces, participants will be able to create and directly interact with the data analysis capabilities of today’s computer, allowing businesses to make well-informed decisions in complex situations faster and more efficiently. It paves way for data exploration, an important step towards communicating insights to organizational data and potentially identify any business risks that may hinder achievement of strategic objectives. While undertaking this course, participants will gain practical skills on how to create beautiful data visualizations using a variety of tools such as Tableau, PowerBI, GGPLOT2 and Matplotlib.

DATA WRANGLING
Ability to create a model that empowers businesses to take risks with some level of precision is at the center of data science. This course will empower you to create, evaluate and optimize a machine learning model using past and present data by understanding most valuable data points in your population and using them to foretell the unknown future. Predictive analytics is applicable in almost all business segments including marketing, customer service, inventory, sales etc