Data Analytics and Data Visualization Using AI

Course Description

Digital penetration in recent years has made data flow streams in such a pace that were not thought of. As a result many business decisions are centered around business analytics through the right kind of data analytic tools. Accordingly this program has been designed to learn the use of analytics tools to perform data analysis using advanced Excel tools, application of advanced statistical analytics tools, create high impact data visualisations using Tableau and power BI, apply analytics to design programs and how to use all of these in a business environment

Course is focused to business analytics that will facilitate decision
It’s not a course to teach the 3 major tools covered - Power BI, Tableau and Statistical tools. Covered to the extent required for use of analytics to support business decision
Integrated with latest use of Generative AI and Chat GPT in analytics
Use of demo data and series of assignments for three major business verticals
Workplace readiness - working in a team, how to behave in a professional workspace

Why this course and Industry Outlook

Clinical Research is a Life Science domain that has grown significantly in post COVID Capability to use of evolving analytics tools and techniques to perform data analysis (like using advanced MS Excel tools, application of advanced statistical analytics tools for data analytics)

Ability to create high impact data visualizations using Tableau and power BI, that facilitate business decisions.
Understanding and using of regenerative AI tools for facilitating data analytics to support business transformation.
Assist in designing and developing programs and how to use all of these in a business environment.
Hands on with application of such analytics in some select industry.

Course Structure

Eligibility	Graduates and Graduating students Engineering, Technology graduates and graduating students who wish to make a career in Future Skills Business School students who wish to make a career in emerging technology domain IT professional for making career progression Corporate professionals to upskill themselves Age - 18 to 45 Years Additional Prerequisite Working Knowledge and Basic Understanding of Excel Basic knowledge in statistics Students Require to have Laptop/ Desktop with latest web browser and internet connectivity
Duration	350 Hours (6 months) of intensive course

View Detailed Syllabus

Course Coverage

Introduction to Future Skills, Artificial Intelligence and Big Data Analytics
Data Science Fundamentals and use in business decisions - Collating data from multiple data sources using appropriate software tools and data cleaning
Data Analytics using Advanced Excel tools
Statistics Essential for data science and business decisions support and Select the most suitable models based on whether the data is structured or unstructured
Data Visualization and data driven business storytelling using Power BI and Tableau including Dashboards and stories
Data Analytics and Visualization Applications in functional areas - a) Sales and Marketing, b) HR, c) Finance for two industry verticals (Healthcare and FMCG)
Application of Generative AI using ChatGPT and other AI Tools for Data Analytics and Visualization
Using Data Analytics as support for business decisions
Capstone Project
Soft skills

Course Delivery

Live classes with presentations, demonstrations, case studies in virtual mode supported by some class room delivery
Hands-on exercises
Use of demo data set
Application in two Industry segments - Healthcare & FMCG
Assignment based learning for use of appropriate tools for three business verticals in these industries - Sales, HR and Finance
Capstone projects at the end of the program
Study materials will be available in a LMS

Trainer Profile

All experienced trainers having hands on experience on using the tools and functional experience. Program Director is a well known Data Scientist with credential for AI based application development and business analytics.

Use of software tools

Advanced Excel with statistical applications
Power BI, Tableau
Regenerative AI Tools and use of CHAT GPT
No prior knowledge of tools are necessary except basic Excel

Learning Outcome and Role Description

After completing this programme, participants

Will be able to implement processes and layouts for complex, large-scale data sets used for modeling, data mining, data management, manipulation, and research purposes.
Can discharge responsibilities connected to designing and implementing statistical data quality procedures around new data sources.
These kinds of job roles require the individual to work independently and be comfortable in making decisions pertaining to his/her area of work.
The individual should be able to focus on result oriented outcomes and demonstrate logical thinking.

Role description

The trained persons will find opportunities to work as Junior Data Analytic Associate, Business Analytic support, Data Warehousing Engineer, Data Scientist, Business Intelligence Technician etc.

Program Uniqueness

This course has uniqueness in terms of providing three basic tools - Power BI, Tableau, AI tools
In depth use of statistical analysis for data analytics
Application of analytics in two Industry- Healthcare and FMCG with data
Application of analytics for three business verticals - Sales, HR and FInance
Capstone projects and several assignments and hands on exercises
Provides understanding and hands on use of AI tools including how CHAT GPT can be maximised for data analytics
Huge gap in user Industry for skilled resources in Analytics to facilitate digital transformation of business
Opportunity to Upskill for those in ITeS space seeking enhancement in career and freshers to build career