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Class / Class Details

Data Analytics using Python Foundational (MasterClass)

  • Shlok Parmar image

    By - Shlok Parmar

  • 0 students
  • 1 Hour 30 Min
  • (0)
Start Date & Time

16th Sep, 2024 At 07:30 PM

End Date & Time

25th Sep, 2024 At 09:00 PM

Duration

12 Hours

Course Description

"Unlock your potential in data analytics with ThinkMates' 'Data Analytics using Python Foundational (MasterClass).' This in-depth course is designed to provide you with a solid foundation in Python for data analysis, covering everything from data manipulation and visualization to the application of statistical models. Led by industry experts, our masterclass offers hands-on experience using real-world datasets, ensuring you gain the practical skills needed to solve complex problems and make data-driven decisions. Whether you're starting your journey in data analytics or looking to strengthen your Python skills, this course will equip you with the knowledge and confidence to excel in the ever-evolving analytics field. Enroll in ThinkMates' MasterClass today and take the first step towards mastering data analytics with Python.

Course Schedule

Start Date
16 Sep 2024
Time
(Start - End)
7:30 PM -9:00 PM
Duration
1 Hour 30 Min
Start Date
17 Sep 2024
Time
(Start - End)
7:30 PM -9:00 PM
Duration
1 Hour 30 Min
Start Date
18 Sep 2024
Time
(Start - End)
7:30 PM -9:00 PM
Duration
1 Hour 30 Min
Start Date
19 Sep 2024
Time
(Start - End)
7:30 PM -9:00 PM
Duration
1 Hour 30 Min
Start Date
20 Sep 2024
Time
(Start - End)
7:30 PM -9:00 PM
Duration
1 Hour 30 Min
Start Date
23 Sep 2024
Time
(Start - End)
7:30 PM -9:00 PM
Duration
1 Hour 30 Min
Start Date
24 Sep 2024
Time
(Start - End)
7:30 PM -9:00 PM
Duration
1 Hour 30 Min
Start Date
25 Sep 2024
Time
(Start - End)
7:30 PM -9:00 PM
Duration
1 Hour 30 Min

Instructor

Shlok Parmar

Shlok Parmar is an accomplished data science tutor specializing in Python programming. With a robust background in data science and a deep understanding of Python, Shlok excels in teaching individuals how to harness the power of data through practical and effective methods.

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