Paatshala TCP

Data Science Basics

by Paatshala TCP

Experience: 14 Yrs

Data Science Basics

Course Overview

This course provides a comprehensive introduction to the fundamentals of data science. It covers essential concepts, tools, and techniques that f...

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Course Mode:

Offline

Duration:

3 months

Language:

English, Kannada, Punjabi

Location:

Nellore

Pricing:

34000 INR Per Full Course

Batch Type:

Weekdays and Weekend

Course Experience:

14 Years

Tutor Experience:

15 Years

Course Content

Data Science Basics

Course Overview

This course provides a comprehensive introduction to the fundamentals of data science. It covers essential concepts, tools, and techniques that form the backbone of data analysis and decision-making. The course is ideal for beginners who wish to explore the field of data science, whether for academic purposes or to enhance their career prospects.

Enrolling in this course is beneficial for students, professionals, and anyone interested in understanding how data-driven insights can influence various sectors. With the growing importance of data in today’s world, having a foundational knowledge of data science can open doors to numerous opportunities.

What Students Will Learn

  • Understanding of basic data science concepts and terminology
  • Familiarity with data collection methods and data cleaning techniques
  • Introduction to statistical analysis and its application in data science
  • Basics of data visualization and how to present data effectively
  • Overview of programming languages commonly used in data science, such as Python or R
  • Practical skills in using data analysis tools and software

This course ensures a structured learning progression, allowing students to gradually build their knowledge and skills. By the end of the course, students will be equipped to tackle basic data science projects and understand the principles that guide data-driven decision-making.

Teaching Method & Learning Approach

This course is offered in an online format, providing flexibility for learners to study at their own pace. The teaching style is concept-based and practice-oriented, ensuring that students not only learn theoretical aspects but also apply them in practical situations.

Interactive methods, such as discussion forums and real-time quizzes, will engage students and reinforce their understanding. This environment encourages collaboration and peer learning, enhancing the overall educational experience.

Why Learn From This Tutor

Paatshala is committed to delivering clear and concise instruction, making complex topics accessible to all students. The structured guidance provided throughout the course ensures that learners can follow along easily and build a strong foundation in data science.

Additionally, Paatshala emphasizes student support, offering assistance and feedback to help learners overcome challenges and stay motivated. This supportive approach fosters a positive learning environment that is conducive to growth and understanding.

Location Context

For those opting for offline sessions, this course is conveniently located in Pune, specifically in the Pune locality. This allows local learners to easily access the course and benefit from face-to-face interactions.

Benefits & Learning Outcomes

By participating in this course, students will achieve:

  • Clarity on fundamental data science concepts
  • Increased confidence in their ability to analyze and interpret data
  • Improved skills that are relevant for further studies or professional work in data science
  • Readiness to tackle entry-level data science challenges and projects

Skills

  • Administration Statistics
  • Ai and Data Analytics
  • Al Business Statistics
  • Aws Certified Data Analytics ? Specialty
  • Bba Statistics
  • Big Data Analytics
  • Data Analysis
  • Data Analysis Using Aggregation Functions
  • Data Analysis with Excel, Access and Sql
  • Decision Making and Data Analysis
  • Excel & Research Data Analysis
  • Financial Data Analysis
  • Omics Data Analysis
  • Python for Ml and Data Analysis
  • R Statistics
  • Statistical Analysis
  • Weka Tool for Ml and Data Analysis
  • statistics and probability

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What Students Are Saying

The instructor explained the concepts very clearly. I really enjoyed the course.

Amit Sharma

This course was very informative and helped me understand the topic better.

Priya Das

I liked the structure of the lessons and the examples used were very practical.

Rohan Mehta

FMG-2.0😎

SRV

Paatshala TCP

Paatshala TCP

Experience: 14 Yrs