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Data Science with AI

Course Overview

Welcome to our Data Science Online Training, your gateway to mastering the world of data. Our Data Science Online Course is thoughtfully crafted to equip you with essential skills in data analysis, machine learning, and statistical modeling. Whether you’re a beginner or looking to refine your expertise, our Data Science Online Classes provide a comprehensive learning experience.

Description

In this Data Science Online Training, you'll explore a wide range of topics, including:

  • Fundamentals of data analysis and visualization
  • Statistical methods for data interpretation
  • Machine learning algorithms and their applications
  • Data wrangling and preprocessing techniques
  • Tools and technologies such as Python, R, and SQL

Our Data Science Online Course is designed to combine theory with hands-on practice, ensuring you gain the skills needed to tackle real-world data challenges.

Course Objectives

By the end of this Data Science Online Course, you will:

  • Develop a robust understanding of data science concepts and methodologies.
  • Be proficient in using data science tools for analysis and visualization.
  • Learn to build and deploy machine learning models.
  • Master techniques for data cleaning and preparation.
  • Gain practical experience through projects and case studies relevant to industry standards.

Prerequisites

  • Pre-requisites to Learn Data Science

    To make the most of our Data Science Online Training, it’s beneficial to have:

    • A basic understanding of statistics and mathematics.
    • Familiarity with programming (preferably Python or R).
    • Basic knowledge of databases and SQL.
    • Curiosity and enthusiasm for data-driven decision-making.

    No prior data science experience is required, making our Data Science Online Classes accessible to all aspiring learners.

Enroll Now
Course Curriculum

  • Introduction to Data Science
  • Python – Basics
  • Python - Data Types & Utilities
  • Set
  • Tuple
  • Dictionary and Dictionary comprehension
  • Functions
  • Packages
  • Map Reduce
  • OOPs
  • Class & Object
  • Methods
  • Python Decorator
  • Polymorphism
  • Python - Production Level
  • Pickling & Unpickling
  • Pandas
  • Numpy
  • Matplotlib
  • Seaborn
  • Scipy
  • Statsmodels

  • Set Theory
  • Combinatorics
  • Probability
  • Linear Algebra
  • Euclidean Distance & Manhattan Distance
  • Calculus
  • Indices & Logarithms

  • Introduction
  • Types of Data
  • Measures of Central Tendency
  • Descriptive statistic Measures of symmetry
  • Measurement of Spread
  • Measurement of Spread
  • Levels of Data Measurement
  • Variable
  • Frequency Distribution Table
  • Types of Variables
  • Frequency Distribution Table
  • Correlation, Regression & Collinearity
  • Others
  • Bias and Variance in ML
  • Entropy in ML
  • Information Gain
  • Surprise in ML
  • Loss Function & Cost Function
  • Inferential Statistics

  • Introduction
  • Keys
  • Constraints
  • CRUD Operations
  • SQL Languages
  • SQL Commands
  • Operators
  • Wild Cards
  • Aggregate Functions
  • SQL Joins

  • EDA
  • Data Visualisation
  • ML Introduction
  • Important Element of Machine Learning
  • Multiclass Classification
  • Data Processing
  • Regression
  • Evaluation Metrics for Regression
  • Classification
  • Clustering
  • Introduction
  • K-Means Clustering
  • Hierarchical Clustering
  • Agglomerative clustering
  • DBSCAN Clustering
  • Association Rules
  • Recommendation Engines
  • Time Series & Forecasting
  • Model Selection & Evaluation
  • Over Fitting & Under Fitting
  • Others
  • ML Pipeline
  • ML Model Deployment in Flask

  • Introduction
  • Basic Report Design
  • Visual Sync, Grouping
  • Hierarchies, Filters
  • Power Query
  • DAX Functions

  • Deep learning at Glance
  • Training MLP: Backpropagation
  • Cost Function
  • Gradient Descent Backpropagation - Vanishing and Exploding Gradient
  • Problem
  • Introduce to Py-Torch
  • Regularization
  • Optmizers
  • Hyperparameters and tuning of the same
  • TensorFlow Framework
  • ANN (Artificial Neural Network)
  • Py-Torch Library
  • RNN (Recurrent Neural Network)
  • Basics of Image Processing
  • Convolutional Neural Networks (CNN)

  • Introduction to Natural Language Processing (NLP)
  • Document Vectorization
  • Twitter Sentiment Analysis Using Textblob
  • Spacy Library

  • Human vision vs Computer vision
  • Image Processing with OpenCV
  • Video Processing with OpenCV
  • Reinforcement Learning
  • OPEN AI
  • Time Series and Forecasting
  • MakerSuite Google
  • Azure ML
APPLY NOW !
Who can learn this course

Who Can Learn Data Science?

Our Best Data Science Training is ideal for:

  • Beginners interested in entering the field of data science.
  • Data analysts looking to enhance their analytical skills.
  • IT professionals seeking to pivot their careers towards data.
  • Business professionals wanting to leverage data for decision-making.
  • Anyone eager to learn about big data and predictive analytics.

 

Data Science Course Fees

Our Data Science Course Fees are competitive, providing excellent value for your investment in your future. For detailed information of Free Demo's and Course Fee Enroll now!

Average package of course (Data Science with AI)

90% Avg
salary hike
5L Avg
Package
Training Features
Comprehensive Course Curriculum

Elevate your career with essential soft skills training for effective communication, leadership, and professional success.

Experienced Industry Professionals

Learn from trainers with extensive experience in the industry, offering real-world insights.

24/7 Learning Access

Enjoy round-the-clock access to course materials and resources for flexible learning.

Comprehensive Placement Programs

Benefit from specialized programs focused on securing job opportunities post-training.

Hands-on Practice

Learn by doing with hands-on practice, mastering skills through real-world projects

Lab Facility with Expert Mentors

State-of-the-art lab facility, guided by experienced mentors, ensures hands-on learning excellence in every session

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Reviews

I am studying Python for Data Science. The course is excellent, with a strong focus on problem-solving and a clear understanding of programming concepts. Thank you, team!

Angie M. Sangram Rout
course : Python for Data Science

In January 2024, our instructor often highlighted students struggling to find jobs, emphasizing how he was helping them succeed in their job search.

Angie M. Kisholoy Roy
course : Data Science with AI
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