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(+91) 9865645827 info@arviacademy.com Office F1-4, KPA Building, 7th St Extension, Gandhipuram, Coimbatore-641012

Advanced Data Science Course in Tamil

Accelerate your career with our Academy’s Advanced Data Science Course.

Embark on a transformative journey into the world of Data Science with Arvi Academy’s Data Science Course. Data Science is at the forefront of today’s technological advancements, making it one of the most sought-after fields. Our course is meticulously designed to provide a deep understanding of Data Science concepts, from foundational elements like Python and R programming to advanced topics such as Machine Learning, Deep Learning, and AI. Through hands-on projects and real-world applications, you'll gain the expertise required to excel in Data Science and unlock new career opportunities.

4576 Ratings | Reviews

Duration

4 Months

Mode

Online

EMI Options

Available

Salary

7lakh/Year

Placement

100% Placement

Duration

4 Months

Mode

Online

EMI Options

Available

Salary

7lakh/Year

Placement

100% Placement
Premium Course

Join now, succeed fast!

Register Now

3301 enrolled in this course

About Arvi Academy's Data Science Course Training

Arvi Academy offers premier Data Science training with global certification partners and a network of over 450 companies for placement opportunities. Our online, flexible courses are designed to suit your schedule, enabling you to learn at your own pace. With industry-recognized certifications and a curriculum focused on practical experience, Arvi Academy equips you with the tools and support needed to thrive in Data Science.

Learn from Top Industry Experts.

Key Features

Globally Recognised Certification
100% online and Self-paced learning
Full lifetime access to all content
450+ Hiring Partners
Dedicated Forum Support to clear all your doubts
3 Days refund Policy
Emi Option Available
100% placement

Tools Covered

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Syllabus Overview

The Data Science Course at Arvi Academy spans from basic data handling techniques to advanced Machine Learning algorithms, ensuring you acquire the skills to tackle real-world data challenges.

  • Overview of Data Science
  • Understanding the Data Science Life Cycle
  • Introduction to Artificial Intelligence (AI)
  • Implementation of AI in Data Science
  • Overview of Machine Learning and Deep Learning
  • Introduction to Artificial Neural Networks (ANN)
  • Natural Language Processing (NLP) Basics

  • Introduction to Python: History and Features
  • Differences Between Python 2 and Python 3
  • Python Installation and Environment Setup
  • Python Basics: Identifiers, Keywords, and Indentation
  • Command Line Arguments and User Input
  • Data Types, Variables, Lists, Ranges, and Tuples
  • Understanding Iterators, Generators, and Lambda Expressions
  • Python Dictionaries and Sets
  • File Handling in Python: Text and Binary Files
  • Python Functions: User-Defined and Anonymous Functions
  • Control Structures: Loops, Conditional Statements
  • Python Modules and Packages
  • Exception Handling in Python
  • Python Regular Expressions
  • Debugging and Breakpoints Using IDEs

  • Introduction to R Programming and R Studio
  • Installing R and Setting Up the Environment
  • R Basics: Syntax, Script Files, and Data Types
  • Working with Vectors, Arrays, and Matrices in R
  • Lists, Factors, and Data Frames in R
  • Functions in R: Built-in and User-Defined Functions
  • Handling External Data: Text Files, CSV, Excel, and MySQL
  • Data Visualization with R: Charts, Graphs, and Statistical Computations

  • Data Extraction, Wrangling, and Processing
  • Working with Numpy, Scipy, and Pandas
  • Probability, Statistics, and Exploratory Data Analysis (EDA)
  • Working with Mean, Median, Mode, Variance, and Standard Deviation

  • Introduction to Machine Learning Models
  • Training, Evaluating, and Improving Models
  • Understanding Predictive Models: Linear and Polynomial Regression
  • Multi-Level Models, Algorithm Boosting, and Adaptive Boosting

  • Understanding Classifications: Logistic Regression, Naïve Bayes Classifier
  • Nearest Neighbour, Support Vector Machines (SVM)
  • Decision Trees, Boosted Trees, and Random Forests

  • Introduction to Clustering: K-Means and Hierarchical Clustering
  • Dimensionality Reduction: Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA)

  • Understanding Time Series Analysis and Its Components
  • AR and MA Models, Stationarity, and Forecasting with TSA

  • Basics of Hypothesis Testing in Machine Learning
  • Types of Tests: T Test, Z Test, ANOVA, Chi-Square
  • Understanding the P-Value, Null Hypothesis, and Alternative Hypothesis

  • Overview of Reinforcement Learning
  • Components and Tradeoffs: Exploration vs. Exploitation

  • Project 1: Data Wrangling and Visualization with Python and R
  • Project 2: Implementing Machine Learning Models in Python
  • Project 3: Time Series Forecasting with TSA

Learn from anywhere with our online courses, featuring weekend/weekday live classes.

Register Now

We are Accredited by

Placement Guidance

At Arvi Academy, we provide dedicated placement guidance to ensure you succeed in your web development career. Our support includes personalized services and extensive industry connections to help you secure your ideal job.

How We Assist with Your Placement?


  • Course Completion and Certification: Gain a certification upon successful completion of the course to enhance your credentials.
  • Personalized Resume and Portfolio Reviews: Get expert feedback on your resume and portfolio to stand out in the job market.
  • Interview Coaching and Preparation: Receive coaching to prepare for technical and behavioral interviews.
  • Access to a Network of Over 450 Companies: Leverage our extensive network for job placements and opportunities.
  • Job Placement Assistance and Referrals: Benefit from our job placement services and company referrals.
  • Insights into Industry Trends and Opportunities: Stay updated with the latest industry trends and career opportunities.
  • Guidance on Leveraging Global Certifications: Utilize global certifications to enhance your career prospects.
  • Ongoing Career Support and Follow-Up: Receive continued support and follow-up even after completing the course.

The Value of Our Certification

  • Globally Recognized: Valued by employers worldwide.
  • Skill Validation: Proves your expertise and skills.
  • Career Boost: Enhances job opportunities and growth.

After this Course, You will be Able to

Master Data Science Techniques: Work with Python, R, and various data manipulation tools.

Build Predictive Models: Implement Machine Learning algorithms for predictive analytics.

Analyze Time Series Data: Forecast future trends using TSA.

Leverage Certifications: Enhance your career with global certifications.

Access Job Opportunities: Benefit from placement support and industry connections.

All You Need to Start this Course

  • : Familiarity with using a computer and navigating online platforms.
  • A keen interest in data analysis and problem-solving.
  • A computer with an internet connection to complete online coursework and practice development tools.

This is the One for You, If You are

Interested in starting a career in data structure and technology.
Curious about how applications are works.
Looking to get job in Tech companies

Did You Know?

The average salary Starts

7L / Year in India

Employers Reviews

Reviews

4.7

5304Rating

Still Having Doubts?

The course typically lasts for [insert duration], including all modules and hands-on projects.

No prior experience is required. The course is designed for beginners and intermediate learners.

The course covers Python, R, Machine Learning, AI, and more.

The course is available online, allowing you to learn from anywhere.

Yes, a certificate of completion will be awarded after successfully finishing the course.

You will work on various projects, including data wrangling, machine learning model implementation, and time series forecasting.

Yes, you will have access to course materials and resources even after the course ends.

This course can help you pursue careers in Data Science, Machine Learning, and AI.

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