ThinkMates | Advance Your Career with Expert-Led Data Courses | ThinkMates Sycamore Applied Analytics & Decision Systems using Python, R & R Shiny Evening Batch (9PM -10PM IST)

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ThinkMates Sycamore Applied Analytics & Decision Systems using Python, R & R Shiny Evening Batch (9PM -10PM IST)

Specialized Courses

By - Sharat Chandra Kumar Manikonda
0 students
1 Hour
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Start Date & Time

9th Jul, 2026 At 09:00 PM

End Date & Time

1st Oct, 2026 At 10:00 PM

Duration

25 Hours

Course Description

Course Overview

The Applied Analytics & Decision Systems using Python, R & R Shiny program is a hands-on, industry-focused course designed to help Product, QA, and Development professionals build practical analytics skills and make data-driven business decisions.

Unlike traditional programming courses, this program emphasizes how analytics can be applied to solve real-world business challenges. Participants will learn to use Python for data analysis, R for applied analytics, and R Shiny to build interactive dashboards that support informed decision-making.

Through live demonstrations, real-world datasets, practical case studies, and capstone projects, learners will gain the confidence to transform raw data into meaningful insights and interactive decision systems.

What You Will Learn

Develop an analytics-driven mindset for Product, QA, and Development teams.
Understand when and how to use Python and R for analytics.
Perform data manipulation, cleaning, and analysis using R and Python.
Create insightful data visualizations using ggplot2.
Build interactive dashboards with R Shiny.
Apply analytics to real-world Product and QA use cases.
Generate business insights from data to support strategic decision-making.

Course Highlights

Duration: 14 Hours (7 Weeks | 2 Sessions per Week)
Learning Format: Live instructor-led sessions with demonstrations
Hands-on Learning: Real-world datasets and business scenarios
Technology Stack: Python, R, RStudio, dplyr, ggplot2, R Shiny
Capstone Projects: Product Analytics and QA Validation Analytics
Coding Level: Beginner-friendly with minimal programming complexity

Course Modules

Analytics Mindset & Foundations
Python for Data Analytics
Applied Analytics using R
Data Visualization with ggplot2
Interactive Dashboards using R Shiny
Product Analytics Case Study
QA & Validation Analytics Case Study

Learning Outcomes

Upon successful completion of this course, participants will be able to:

Apply analytics techniques in Product and QA workflows.
Analyze business data using Python and R.
Clean, transform, and visualize datasets effectively.
Build interactive dashboards using R Shiny.
Translate business requirements into data-driven insights.
Support better decision-making through analytics and visualization.

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Course Schedule

Start Date

09 Jul 2026

Time
(Start - End)

9:00 PM -10:00 PM

Duration

1 Hour

Start Date

14 Jul 2026

Time
(Start - End)

9:00 PM -10:00 PM

Duration

1 Hour

Start Date

16 Jul 2026

Time
(Start - End)

9:00 PM -10:00 PM

Duration

1 Hour

Start Date

21 Jul 2026

Time
(Start - End)

9:00 PM -10:00 PM

Duration

1 Hour

Start Date

23 Jul 2026

Time
(Start - End)

9:00 PM -10:00 PM

Duration

1 Hour

Start Date

28 Jul 2026

Time
(Start - End)

9:00 PM -10:00 PM

Duration

1 Hour

Start Date

30 Jul 2026

Time
(Start - End)

9:00 PM -10:00 PM

Duration

1 Hour

Start Date

04 Aug 2026

Time
(Start - End)

9:00 PM -10:00 PM

Duration

1 Hour

Start Date

06 Aug 2026

Time
(Start - End)

9:00 PM -10:00 PM

Duration

1 Hour

Start Date

11 Aug 2026

Time
(Start - End)

9:00 PM -10:00 PM

Duration

1 Hour

Start Date

13 Aug 2026

Time
(Start - End)

9:00 PM -10:00 PM

Duration

1 Hour

Start Date

18 Aug 2026

Time
(Start - End)

9:00 PM -10:00 PM

Duration

1 Hour

Start Date

20 Aug 2026

Time
(Start - End)

9:00 PM -10:00 PM

Duration

1 Hour

Start Date

25 Aug 2026

Time
(Start - End)

9:00 PM -10:00 PM

Duration

1 Hour

Start Date

27 Aug 2026

Time
(Start - End)

9:00 PM -10:00 PM

Duration

1 Hour

Start Date

01 Sep 2026

Time
(Start - End)

9:00 PM -10:00 PM

Duration

1 Hour

Start Date

03 Sep 2026

Time
(Start - End)

9:00 PM -10:00 PM

Duration

1 Hour

Start Date

08 Sep 2026

Time
(Start - End)

9:00 PM -10:00 PM

Duration

1 Hour

Start Date

10 Sep 2026

Time
(Start - End)

9:00 PM -10:00 PM

Duration

1 Hour

Start Date

15 Sep 2026

Time
(Start - End)

9:00 PM -10:00 PM

Duration

1 Hour

Start Date

17 Sep 2026

Time
(Start - End)

9:00 PM -10:00 PM

Duration

1 Hour

Start Date

22 Sep 2026

Time
(Start - End)

9:00 PM -10:00 PM

Duration

1 Hour

Start Date

24 Sep 2026

Time
(Start - End)

9:00 PM -10:00 PM

Duration

1 Hour

Start Date

29 Sep 2026

Time
(Start - End)

9:00 PM -10:00 PM

Duration

1 Hour

Start Date

01 Oct 2026

Time
(Start - End)

9:00 PM -10:00 PM

Duration

1 Hour

Instructor

Sharat Chandra Kumar Manikonda

Sharat Manikonda is an experienced data analytics and quality-assurance professional currently serving as Director at INNODATATICS — “Innovation | Data | Analytics”.

He holds a B.Tech in Computer Science from Joginpally Bhaskar Rao Institute of Technology (JBIET).

Over his career, he has held several roles including Data Scientist & Trainer at 360DigiTMG, and various positions at Oracle India Pvt. Ltd. such as Project Lead, Senior Quality Assurance Engineer, and Applications Engineer.

He also holds multiple certifications — including AWS Certified Cloud Practitioner, Lean Six Sigma Black Belt & Green Belt (through TÜV SÜD), ITIL v3, and Tableau Desktop Specialist.

At INNODATATICS, Sharat focuses on delivering innovative, open-source–based analytics, deep-learning and business-intelligence solutions — helping clients derive actionable insights from data, while also working on IoT and real-time data processing applications.

If you like — I can write a more “resume-style” bio (2–3 paragraphs) summarizing his professional journey.

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