Deepak Kumar Behera

Years of Experience in Data Science Classes

6

Teaching Experience in detail in Data Science Classes

The course is designed to provide in-depth knowledge of Analytics and Big Data tools and Techniques that can be used for fact-based decision making and problem solving using case studies based on Indian companies. At the end of the course, the participants will be able to: • Understand the emergence of business analytics and Big Data as a competitive strategy. • Understand descriptive, diagnostic, predictive and prescriptive analytics and their applications in creating solutions and technologies. • Analyse data using statistical, mathematical, machine learning and deep learning techniques and understand relationships between KPIs and factors that influence KPIs. • Learn data visualization and story telling through data. • Learn decision making tools/operations research techniques. • Learn machine learning algorithms such as supervised, unsupervised, reinforcement and evolutionary algorithms with applications using case studies. • Learn Artificial Intelligence with a special focus on neural networks and deep learning algorithms. • Use analytics in customer requirement analysis, general management, marketing, finance, operations and supply chain management. • Understand sources of Big Data and the technologies and algorithms for analysing Big Data for inferences. Ability to analyse unstructured data such as social media data and machine generated data. • Analyse and solve problems from different industries such as manufacturing, service, retail, software, banking and finance, sports, pharmaceutical, aerospace, etc. • Design and develop deployment strategies for the analytical models developed. • Hands-on experience with software such as Python and it's libraries (scikit learn, scipy, numpy, pandas), Tensorflow using Keras, Spacy for Natural Language Processing and Tableau for Data Visualization.

Years of Experience in Python Training classes

6