Data Science with AI Training

Overview

The “Data Science with AI” training program is designed to equip learners with essential skills to analyze and interpret complex data sets. It covers a range of key topics including data preprocessing, data visualization, and machine learning algorithms. Participants will gain hands-on experience with tools such as Python, R, and SQL, while learning how to work with different types of data, like structured and unstructured. The course also introduces the basics of artificial intelligence (AI) and its application in the field of data science, preparing learners to use AI models to predict trends, automate processes, and generate valuable insights.
Throughout the course, students will explore techniques in statistical analysis, regression, classification, and clustering. They will also dive into deep learning methods and neural networks, which are at the core of modern AI applications. The program includes real-world case studies to help participants understand how data science and AI intersect in various industries. By the end of the course, learners will be proficient in applying AI-driven data science techniques to solve complex problems, making them valuable assets to organizations looking to leverage data for smarter decision-making.

Key Features

  • Comprehensive Curriculum – Covers essential topics like data preprocessing, machine learning, deep learning, and AI applications in data science.

  • Hands-on Learning – Practical experience with Python, R, SQL, and AI frameworks such as TensorFlow and Scikit-learn.

  • Real-World Case Studies – Exposure to industry-relevant projects that help apply AI-driven data science techniques to real business problems.

  • Expert-Led Training – Learn from experienced data scientists and AI professionals with industry insights.

  • Machine Learning & Deep Learning – Master supervised and unsupervised learning techniques, neural networks, and AI-powered predictive modeling.

  • Data Visualization & Interpretation – Learn how to present data insights using tools like Matplotlib, Seaborn, and Tableau.

  • AI Integration in Data Science – Understand how AI enhances data-driven decision-making through automation and advanced analytics.

  • Capstone Project – Work on a full-fledged project to demonstrate your skills and build a strong portfolio.

  • Certification – Earn an industry-recognized certification upon successful completion of the course.

  • Career Support – Get access to resume-building assistance, interview preparation, and job placement guidance.

Course Objectives

  • Master Data Science Fundamentals – Learn key concepts of data preprocessing, data wrangling, and statistical analysis for data-driven decision-making.
  • Develop Machine Learning & AI Skills – Gain hands-on experience with supervised, unsupervised, and deep learning models to build intelligent AI-driven solutions.
  • Enhance Data Visualization & Interpretation – Use advanced visualization tools to analyze and communicate insights effectively.
  • Apply AI in Real-World Scenarios – Work on industry-based projects to understand how AI and data science solve business challenges.
  • Prepare for a Successful Career – Build a strong portfolio, earn certification, and receive job placement assistance to advance in the field of AI and data science.

Job Opportunities After Completing the course

  • Data Scientist – Analyze large datasets, build predictive models, and develop AI-driven insights for businesses.
  • Machine Learning Engineer – Design, implement, and optimize machine learning models for real-world applications.
  • AI Engineer – Develop AI-powered solutions using deep learning, natural language processing (NLP), and computer vision techniques.
  • Data Analyst – Interpret data, create visualizations, and provide actionable insights for business decision-making.
  • Business Intelligence Analyst – Use data analytics and AI tools to improve business performance and strategy.
  • Big Data Engineer – Manage large-scale data processing systems and optimize data workflows.

The salary prospects for a certified Data Science with AI professional

Country
Average Salary
United States
$80,000 – $200,000 per year
United Kingdom
£35,000 – £120,000 per year
India
₹6,00,000 to ₹50,00,000 per year
Australia
AUD 90,000 to AUD 250,000 per year
UAE
AED 120,000 to AED 500,000 per year
Singapore
SGD 60,000 – SGD 200,000 per year

Who should take Data Science with AI Certification Training Course?

  • Aspiring Data Scientists & AI Enthusiasts
  • Software Engineers & IT Professionals
  • Data Analysts & Business Intelligence Professionals
  • Statisticians & Mathematicians
  • Students & Fresh Graduates
  • Managers & Business Leaders
  • Domain Experts

Course Content

  • What is Data Science?
  • The Data Science Lifecycle
  • Introduction to Artificial Intelligence (AI)
  • Differences and Overlaps Between AI and Data Science
  • Applications of Data Science and AI in Real Life
  • Python Installation
  • Working Jupyter Notebook
  • Python Basics: Syntax, Functions, and Libraries
  • Key Libraries for Data Science: NumPy, Pandas, Matplotlib, Seaborn
  • Importance of Statistical
  • Foundations in AI
  • Descriptive Statistics (Mean, Median,
  • Mode, Variance, etc.)
  • Probability Basics
  • Hypothesis Testing
  • Introduction to Machine Learning
  • Supervised vs. Unsupervised Learning
  • Key Algorithms: Linear Regression, Logistic Regression, Decision Trees, Boosting
  • Model Evaluation: Accuracy, Precision, Recall, F1-Score
  • Introduction to Regression
  • Types of Regression
  • Step by Step Model Building – data preparation, feature engineering, variable reduction,
    model building, model performance tracking
  • Introduction to Decision Tree
  • How they work: Splits, Gini Impurity, Information Gain
  • Introduction to Boosting
  • Types of Boosting
  • Step by Step Boosting Model Building
  • Working with real life Fraud Data
  • Objective: Solve a real-world problem using Data Science and AI.
  • Steps:
    1. Define the Problem
    2. Collect and Analyze Data
    3. Build and Evaluate a Model
    4. Visualize and Present Results
  • Hands-On Guidance with Mentors

Are you ready to take your career to the next level and become a Data Science With AI expert?

Enroll in our course today and take the first step towards your career success!

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