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Class / Class Details

ThinkMates Sycamore Python and R Shiny Training Program for Service team

  • Vikrant Shitole image

    By - Vikrant Shitole

  • 0 students
  • 1 Hour
  • (0)
Start Date & Time

20th Nov, 2025 At 10:00 AM

End Date & Time

30th Apr, 2026 At 11:00 AM

Duration

47 Hours

Course Description

The ThinkMates Sycamore Python and R Shiny Training Program for the Service Team is a comprehensive, hands-on learning experience designed to build strong data analytics, automation, and application-development skills. This program equips participants with practical knowledge of Python programming, data manipulation, visualization, and workflow automation, along with the ability to develop interactive dashboards and web applications using R Shiny.

Throughout the course, learners will work through real-world business scenarios, coding exercises, and guided projects tailored to the needs of service and operations teams. By the end of the program, participants will be able to use Python and R Shiny to streamline processes, generate insights, and create user-friendly analytical tools that support decision-making across the organization.

Course Schedule

Start Date
20 Nov 2025
Time
(Start - End)
10:00 AM -11:00 AM
Duration
1 Hour
Start Date
21 Nov 2025
Time
(Start - End)
10:00 AM -11:00 AM
Duration
1 Hour
Start Date
27 Nov 2025
Time
(Start - End)
10:00 AM -11:00 AM
Duration
1 Hour
Start Date
28 Nov 2025
Time
(Start - End)
10:00 AM -11:00 AM
Duration
1 Hour
Start Date
04 Dec 2025
Time
(Start - End)
10:00 AM -11:00 AM
Duration
1 Hour
Start Date
05 Dec 2025
Time
(Start - End)
10:00 AM -11:00 AM
Duration
1 Hour
Start Date
11 Dec 2025
Time
(Start - End)
10:00 AM -11:00 AM
Duration
1 Hour
Start Date
12 Dec 2025
Time
(Start - End)
10:00 AM -11:00 AM
Duration
1 Hour
Start Date
18 Dec 2025
Time
(Start - End)
10:00 AM -11:00 AM
Duration
1 Hour
Start Date
19 Dec 2025
Time
(Start - End)
10:00 AM -11:00 AM
Duration
1 Hour
Start Date
25 Dec 2025
Time
(Start - End)
10:00 AM -11:00 AM
Duration
1 Hour
Start Date
26 Dec 2025
Time
(Start - End)
10:00 AM -11:00 AM
Duration
1 Hour
Start Date
01 Jan 2026
Time
(Start - End)
10:00 AM -11:00 AM
Duration
1 Hour
Start Date
02 Jan 2026
Time
(Start - End)
10:00 AM -11:00 AM
Duration
1 Hour
Start Date
08 Jan 2026
Time
(Start - End)
10:00 AM -11:00 AM
Duration
1 Hour
Start Date
09 Jan 2026
Time
(Start - End)
10:00 AM -11:00 AM
Duration
1 Hour
Start Date
15 Jan 2026
Time
(Start - End)
10:00 AM -11:00 AM
Duration
1 Hour
Start Date
16 Jan 2026
Time
(Start - End)
10:00 AM -11:00 AM
Duration
1 Hour
Start Date
22 Jan 2026
Time
(Start - End)
10:00 AM -11:00 AM
Duration
1 Hour
Start Date
23 Jan 2026
Time
(Start - End)
10:00 AM -11:00 AM
Duration
1 Hour
Start Date
29 Jan 2026
Time
(Start - End)
10:00 AM -11:00 AM
Duration
1 Hour
Start Date
30 Jan 2026
Time
(Start - End)
10:00 AM -11:00 AM
Duration
1 Hour
Start Date
05 Feb 2026
Time
(Start - End)
10:00 AM -11:00 AM
Duration
1 Hour
Start Date
06 Feb 2026
Time
(Start - End)
10:00 AM -11:00 AM
Duration
1 Hour
Start Date
12 Feb 2026
Time
(Start - End)
10:00 AM -11:00 AM
Duration
1 Hour
Start Date
13 Feb 2026
Time
(Start - End)
10:00 AM -11:00 AM
Duration
1 Hour
Start Date
19 Feb 2026
Time
(Start - End)
10:00 AM -11:00 AM
Duration
1 Hour
Start Date
20 Feb 2026
Time
(Start - End)
10:00 AM -11:00 AM
Duration
1 Hour
Start Date
26 Feb 2026
Time
(Start - End)
10:00 AM -11:00 AM
Duration
1 Hour
Start Date
27 Feb 2026
Time
(Start - End)
10:00 AM -11:00 AM
Duration
1 Hour
Start Date
05 Mar 2026
Time
(Start - End)
10:00 AM -11:00 AM
Duration
1 Hour
Start Date
06 Mar 2026
Time
(Start - End)
10:00 AM -11:00 AM
Duration
1 Hour
Start Date
12 Mar 2026
Time
(Start - End)
10:00 AM -11:00 AM
Duration
1 Hour
Start Date
13 Mar 2026
Time
(Start - End)
10:00 AM -11:00 AM
Duration
1 Hour
Start Date
19 Mar 2026
Time
(Start - End)
10:00 AM -11:00 AM
Duration
1 Hour
Start Date
20 Mar 2026
Time
(Start - End)
10:00 AM -11:00 AM
Duration
1 Hour
Start Date
26 Mar 2026
Time
(Start - End)
10:00 AM -11:00 AM
Duration
1 Hour
Start Date
27 Mar 2026
Time
(Start - End)
10:00 AM -11:00 AM
Duration
1 Hour
Start Date
02 Apr 2026
Time
(Start - End)
10:00 AM -11:00 AM
Duration
1 Hour
Start Date
03 Apr 2026
Time
(Start - End)
10:00 AM -11:00 AM
Duration
1 Hour
Start Date
09 Apr 2026
Time
(Start - End)
10:00 AM -11:00 AM
Duration
1 Hour
Start Date
10 Apr 2026
Time
(Start - End)
10:00 AM -11:00 AM
Duration
1 Hour
Start Date
16 Apr 2026
Time
(Start - End)
10:00 AM -11:00 AM
Duration
1 Hour
Start Date
17 Apr 2026
Time
(Start - End)
10:00 AM -11:00 AM
Duration
1 Hour
Start Date
23 Apr 2026
Time
(Start - End)
10:00 AM -11:00 AM
Duration
1 Hour
Start Date
24 Apr 2026
Time
(Start - End)
10:00 AM -11:00 AM
Duration
1 Hour
Start Date
30 Apr 2026
Time
(Start - End)
10:00 AM -11:00 AM
Duration
1 Hour

Instructor

Vikrant Shitole

16+ years of experience in helping clients journey from data 'd' to a Decision 'D'

Vikrant Vijay Shitole is an accomplished data expert with over 16 years of experience guiding clients from initial data analysis to strategic decision-making. His deep knowledge and practical approach have consistently helped organizations transform raw data into meaningful insights, enabling informed decisions and driving business success. Vikrant's expertise makes him a trusted advisor in the field of data-driven decision-making.

4.5 Rating
4 Reviews
560 Students
26 Courses

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