Data Science Training

Learn the necessary theory, gain the necessary practical skills, and gain the necessary industry exposure to be able to use scientific methods, processes, and algorithms to extract actionable insights from large amounts of data and become a successful Data Scientist.

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WHY LEARN FROM INTERNSTECH?

Training lessons in real time

Outstanding Teachers

Internship Experience

Industry Oriented Projects

LMS Access

Professional Certifications

OVERVIEW OF THE PROGRAM

Data science is a field that extracts actionable insights from large amounts of data using scientific methods, processes, and algorithms. The current market is rapidly evolving, and the primary source of commerce is becoming increasingly digital, owing largely to AI and machine learning. Data science helps these new technologies by solving problems by linking similar data for future use.

A data scientist searches for patterns and trends in data sets to gain insights, develops algorithms and data models to forecast outcomes, and employs machine learning techniques to improve the quality of data or product offerings.

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
  • Understanding Python 
  • Data types, list, dictionary
  • Array, string operations,
  • Conditions and loops
Fundamentals of Python
  • Inbuilt and user defined functions
  • IO, Excel and DB operations
  • Error Handling
  • OOPs and Regular Expressions
  • Scope of Python
  • Decorators
Data Analysis
  • Data Visualization
  • Building a data visualization library
  • Numpy
  • Pandas
  • Matplot and seaborn libraries.
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
  • Understanding Algorithms
  • Implementation of algorithms
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

PROJECTS

Our Real- Time projects help you gain knowledge and enhance your skills.

Used Cars Cost Prediction

Detection of Parkinson's Disease

Sales Forecasting System

Movie Recommendation Engine

PRICING PLAN

We provide best programs at affordable price and student friendly.

SELF PACED

₹ 4000

MENTOR LED

₹ 6000

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. Simply understanding the nature of the data and the methods used to obtain the desired output is all that is required in Data Science. Some languages that can help, such as Python, R, and SQL, are also very simple to learn. Acmegrade teaches Data Science concepts from the ground up, making it simple even for those who are not pursuing a Computer Science degree.

InternsTech offers placement assistance to all advanced course students. Students who excel during their internships in our self-paced and mentor-led courses will also receive placement assistance.

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