Data Science and Predictive Analytics Mastery using Python

Data Science and Predictive Analytics has served a multitude of functions and job needs and a lot of Job Roles are created in organizations in the last few years. Some of the prominent Job Roles in this space are listed below: Data Scientist: Data Scientists would have the responsibility of understanding and analysing all the data the organisation has and create Data Driven products and solutions to create businesses processes more efficient, drive automation, create decision systems, future prediction systems, etc. Data Architect: Data Architects would typically analyse the organisational Data Schemas, design new schemas for newer data driven systems , tune existing data schemas, optimise organisational Mete Data and all data repositories including ETL Systems. Data and Analytics Manager: Responsible for managing and leading Data initiatives in the organisation, including leadership in ETL programs, Decision Systems programs, leading analytics teams, etc. Data Analyst:Data Analysts typically gather and analyse data within divisions and organisation for the purpose of building Insights and Analytics solutions and systems using a range of tools, techniques including statistics. This role is highly important for the leadership of any organisation to develop understanding of business trends. Machine Learning Engineer: Responsible for developing sophisticated Machine Learning Models that are to create various Decision, Prediction, Classification, Clustering systems on Business Data. All the roles above and the plethora of roles this space is offering are growing rapidly in demand and skills shortfall is even expanding leading to high salaries for every skilled personnel in these fields. Given "Data is the new Fuel", demand for professionals in these fields in the many years to come will continue to expand unabated creating massive opportunities for data professionals.

With Data Science applications booming through businesses leading to saving costs, better profitability and driving newer business models and products, the demand for these skills have skyrocketed. Literally, every business today is after quality skilled professionals in Data Science and Analytics. Not only they are looking for Data Science and Predictive Analytics skills to create new solutions, but preferring these as must-have skills in all other fields to drive continuous automation and efficiency. Even Business and Operations personnel are today are equipping themselves with foundational knowledge in these areas to save costs through automation. Some statistics:

• 70-80% Year on Year New Job Numbers Growth in Data Science and related skills
• 15-20% Year on Year Average Salary Growth in these fields
• 85% of the Companies are Investing and expanding their Data Science Teams rapidly
• In 2020-21, there is a net shortage of 250,000+ skilled resources in these fields
• 2 Years is approximate Data Science Staff Tenure in companies

The course is completely based on practical approaches of teaching. Learners will have intense exposure to real code and data while learning the concepts on the go. We will also provide you all the codes used in training and also additional problems for you to work on and practice. The Delivery method is Online, Live Classes led by Professional, Industry Experienced Instructors.

20 Hours Weekday Courses: Over 2 Weeks, all Weekdays (Monday to Friday), 2 hour Sessions per day. Weekend Courses: Over 3 Weekends, Saturdays and Sundays, 3.5 hour Sessions per day. (Please check your specific course schedule)

1. Laptop with Windows 7, 8, 10 / MacOS / Linux
2. Internet Connectivity
3. Latest Chrome / Firefox Browser
4. Microsoft Excel
5. Python Version 3 or above (https://www.python.org/downloads/)
6. Anaconda Platform (https://www.anaconda.com/distribution/)

All courses on Teksands are taught by Industry Professionals, highly qualified and focused Research Scholars from Reputed University