Course Duration in Hours
360
360
1. Introduction to Business Process and Models
2. Introduction to Business Process and Models
3. Introduction to Business Metrics
4. Introduction to Data Analysis in Excel
5.Introduction to Applied Business Statistics
lessons.
5. Tools and Techniques of Data Visualization and Communication
6 Introduction to Data Science
7. Guide to R Programming
8. Building Data Products using Shiny R
9.Exploratory Data Analysis
10.Managing Data With MySQL – Building block of Business Intelligence
11.Putting it together – Walk through an end-to-end Data Science Project
12.Practical Machine Learning
13.Supervised learning (parametric/non-parametric algorithms, support vector machines).
14.Unsupervised learning (clustering, Apriori Algorithm, dimensionality reduction).
15. Best practices in machine learning (bias/variance theory, innovation process in machine learning and AI).
16. Introduction to Deep Learning Techniques
Dygitech contribute to the professional and experience potential work together.
For more details of courses given at the time of contact.
The candidate must be a graduate or its equivalent from a recognized University with Physics or Mathematics and English in one sitting, securing a minimum of 45% marks in aggregate.
Dygitech, AJC Bose Road (Kolkata),Kolkata,IN