Data Science

Large amounts of data can be analysed using scientific procedures, algorithms, and methods in the discipline of data science. The current market is changing quickly, with machine learning and AI playing a significant role in the major source of commerce becoming increasingly digital. These new technologies are aided by data science, which solves issues by connecting related data for later use.

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OVERVIEW OF THE PROGRAM

Machine learning, or the study of algorithms, has significantly aided in the evolution and use of artificial intelligence over the past ten years. Regardless of the industry it is used in, it is a fully data-driven idea that analyses user behaviour and business operational patterns. With the help of our certification programmes, you will be able to comprehend the use and future of machine learning, get knowledge of how ML is applied in many sectors through our internship programmes, and master the python programming abilities required to succeed as an ML Engineer.

Live Training sessions

Distinguished Mentors

Internship Experience

Industry Relevant Projects

LMS Access

Professional Certifications

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Skill Covered

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    • Data Wrangling & Exploration
    • Python Programming Concepts
    • Machine Learning Algorithms
    • Hands-On Knowledge Of Python Libraries Used For Data Manipulation & Visualization
    • Pandas For Data Manipulation
    • Numpy For Numeric & Scientific Computation
    • Natural Language Processing (NLP)
    • Deep Learning (CNN, RNN)

Key Features

  • Interactive Sessions with Distinguished Mentors
  • 200+ Hours of Online Sessions
  • Flexible Payment Model
  • Certifications From Internationally Renowned Universities 
  • Practical Exposure Through Industry-Relevant Projects and Internships
  • Mock Test / Mock Interviews to Make you Interview Ready
  • Career Counselling
  • Resume Building Assistance

WHY LEARN FROM INTERNSTECH?

Our training curriculum includes ideas ranging from basic to advanced, allowing freshmen to excel in their careers.
Introduction
  • what is data science?
  • Applications & uses of data science
  • Relation between data science, AI & machine learning
Introduction to Python
  • Python fundamentals
  • Data types, list, dictionary
  • Array, string operations,
  • Conditions and loops
  • Inbuilt and user defined functions
  • IO, Excel and DB operations
  • Error Handling
  • OOPs and Regular Expressions
  • Scope of Python
  • Decorators
Introduction to Machine Learning
  • Decoding Artificial Intelligence
  • Fundamentals of Machine Learning
  • Types of machine learning
Tools Required for Data Science
  • Training, Testing
  • Cross validation Data Pickling
  • Scaling Technique
  • Error Metrics Features and label
Machine Learning in Data Science
  • Performance Metrics
  • Supervised vs unsupervised learning
  • Classification vs regression
  • Support vector machine
  • K-means clustering
  • Random forest linear
Deriving Insights from Data Sets
  • Introduction to Joins
  • Working with geodata & what-ifs parameters
  • Creation, calculation, and grouping of fields
  • Sorting, filtering, & analyzing data
Natural Language
  • What is natural language?
  • Natural Language Toolkits (NLTK)
  • Stopwords
  • Stemming
  • Lemmatization
  • What is sentiment analysis?
  • Native and bayes
Statistics
  • Probability & distribution
  • Central limit theorem
  • Hypothesis testing
  • Categorical data
Predictive Modelling
  • Introduction
  • Types of productive modelling
  • Data extraction
  • Data exploration
Core Concepts
  • Data Visualization
  • Building a data visualization library
  • Numpy
  • Pandas

PRICING PLAN

We provide best programs at affordable price and student friendly.

GOLD

₹ 25000

PLATINUM

₹ 30000

OUR CERTIFICATION

On completion of a program each participant gets a course completion, internship and outstanding performance certificates.

What Our Clients Say

Our Alumni Work At

Our alumni are already starting to make waves in their industries. Our former students are already working in high-profile industries and are shaping our futures.

Frequently Asked Questions

Certainly. You only need to comprehend the nature of the data and the procedures utilised to produce the desired result in data science. Certain languages, like Python, R, and SQL, are extremely helpful and simple to learn. Internstech teaches you the fundamentals of data science from scratch, making it simple even for people without a background in computer science.

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