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Data Science for Beginners - Training and Coaching [March 2018] (BS2)


Description

Mode of delivery: On-line interactive training and practice based coaching by Industry experts

Suitable for: Early professionals or graduating candidates looking to build a career in Data Science, Business professionals willing to build a Data Science practice by acquiring technical and practical aspects of Data Science and Machine Learning techniques, or established professionals planning to build Data Science competency to pursue a career in this field.

Course promise: Building a foundation layer with solid Data Science fundamentals is the key to succeed in the Data Science journey and this course promises you that! Once you get the fundamentals right, sky is the limit. By the end of this course, you will be equipped with right set of tools and techniques to address real world analytics challenges and dive deeper into advanced analytics techniques. This course enhances the employability for graduates and early professionals to pursue a career in Data Science.

Duration : 4 weeks

Time-period : 3rd March to 25th of March

Interactive sessions duration: 2.5 hours/session, 2 sessions/week for 4 weeks

Coaching sessions: 3 group coaching sessions of 1 hour each over the course of 4 weeks

Recommended Self-study: 3-5 hours /week for the duration of the course

In this digital era, the requirement of Data Scientists is almost inevitable. On the contrary, high expectations and increased demand have made finding data scientists with the right skills almost impossible. We believe that becoming a Data Scientist is not difficult- all that is required is your passion and commitment. It is never late to take a right career move. Our coaching experts understand the industry requirement and can prepare you for a career in this space. If you think you can, then you are right and this course is for you.
This 6-session module will cover the following broad areas:
1. Introduction to Data Science
2. Data Analytics Lifecycle
3. Business Statistics
4. Machine Learning
5. Structured Vs Unstructured data analysis
6. Use Cases with hands-on example

In addition, group coaching sessions on the below modules (spread over 4 weeks) will help learners interact with experts in smaller groups, discuss technical challenges and gain Industry like experience:

1. Data Science fundamentals
2. A Machine Learning Algorithm- Linear Regression
3. A hands-on use case

Content
  • Welcome + Next steps
Completion rules
  • All units must be completed