Data Science And AI
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Data Science And AI

$2,499.00

  • Interactive, real-time learning with expert instructors
  • Hands-on experience with real-world projects
  • Optimize LinkedIn profiles for maximum visibility
  • Promote skills and expertise to employers
  • Simulate interviews and receive expert feedback
  • Generative AI, Python, Machine Learning & Advanced Data Science Topics
  • Microsoft Certification in Data Science

Data Science And Ai Tools

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Why Get a Cybersecurity & Ethical Hacking Certification from American Tech Institution LLC?

Doubt Clearing Sessions

Assignment Evaluation

Industry Experts Live

3+ Career Sessions

Industry Relevant Projects

Lab For Your Practice

3+ Career Sessions

Who Can Apply for the Course?

  1. Individuals already working in IT, software development, network administration, or related fields who want to specialize in cybersecurity.
  2. IT professionals who want to upgrade their careers in today’s trending technologies. Graduates with at least 50% marks in the graduation final result.
  3. Individuals with a simple background and at least 60% marks in higher secondary education.
  4. Individuals who want to get ample career options and earn competitive salaries.
  5. Those who want to learn network security and digital security techniques.

Program Benefits

  • Study from professionals and knowledgeable professors as they inculcate their practical experiences in the course.
  • Cultivate essential skills such as data interpretation, manipulation, and predictive modeling.
  • Get to work using the best data science software and equipment, such as Python, R, SQL, and Hadoop.
  • Access to resources, webinars, and materials that keep you updated on the latest trends in data science.
  • Use of theoretical concepts in real-world projects and practical scenarios with the help of relevant tools and software.
  • Benefit from individualized mentorship with industry experts who guide your learning journey and career path.
  • Work with advanced Data Science tools and technologies, including Python, R, SQL, and Hadoop.
 

Apache Spark

Github

RStudio

D3.js

SAS

KNIME

Power BI

MATLAB

Python

R

SQL

Tableau

Excel

Apache Hadoop

Jupyter Notebooks

Program Curriculum of Data Science Certification Program

Content by expert faculty and industry experts in videos, cases, projects, assignments, and live sessions combined with Generative AI modules.
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Content Hours Available
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Industry Projects
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Live Learning Sessions
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Programming Tools/ Languages
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Foundations of Data Science & AI

Programming for Data Science

Data Analysis & Visualization

Statistics & Mathematics for AI

Machine Learning

Deep Learning & Neural Networks

Natural Language Processing (NLP)

Big Data & Cloud Computing

AI Tools, Deployment & MLOps

Capstone Project & Career Preparation

Get In Touch

Fill out this form for booking a consultant advising session.

    Data Science And Ai

    • Overview of Data Science

    • What is AI, Machine Learning (ML), Deep Learning (DL)

    • Applications & career paths

    • Tools and ecosystem (Python, R, Jupyter, cloud)

    Mathematics & Statistics for Data Science
    • 2 Quizzes

    • a. Linear Algebra

      • Vectors, matrices, operations

      • Eigenvalues & eigenvectors

      b. Calculus

      • Derivatives & gradients

      • Optimization basics

      c. Probability & Statistics

      • Probability distributions

      • Descriptive statistics

      • Hypothesis testing

      • Confidence intervals

    • 2 Quizzes
    • 1 Project
    • Overview of the Course Modules 
    • Brief on Assignments and Assessments
    • 2 Quizzes
    • 1 Project

    • a. Python Essentials

      • Variables, conditionals, loops

      • Functions & modules

      b. Data Structures

      • Lists, tuples, dicts, sets

      c. Python Libraries

      • NumPy, Pandas

      • Matplotlib, Seaborn

    Gain an overview of key concepts, ethical considerations, and the foundational skills needed to navigate this dynamic field.
    Course Expectations and Structure
    • 2 Quizzes
    • 1 Project
    • Overview of the Course Modules 
    • Brief on Assignments and Assessments
    • 2 Quizzes
    • 1 Project
    • Overview of the Course Modules 
    • Brief on Assignments and Assessments
    • 2 Quizzes
    • 1 Project
    • Overview of the Course Modules 
    • Brief on Assignments and Assessments
    Gain an overview of key concepts, ethical considerations, and the foundational skills needed to navigate this dynamic field.
    Course Expectations and Structure
    • 2 Quizzes
    • 1 Project
    • Overview of the Course Modules 
    • Brief on Assignments and Assessments
    • 2 Quizzes
    • 1 Project

    • Importing & exporting data

    • Handling missing values

    • Feature scaling & encoding

    • Exploratory Data Analysis (EDA)

    • 2 Quizzes
    • 1 Project
    • Overview of the Course Modules 
    • Brief on Assignments and Assessments
    Gain an overview of key concepts, ethical considerations, and the foundational skills needed to navigate this dynamic field.
    Course Expectations and Structure
    • 2 Quizzes
    • 1 Project
    • Overview of the Course Modules 
    • Brief on Assignments and Assessments
    • 2 Quizzes
    • 1 Project

    • Charts: bar, line, histogram, boxplot

    • Advanced viz: heatmaps, interactive dashboards

    • Tools: Matplotlib, Seaborn, Plotly

    • 2 Quizzes
    • 1 Project
    • Machine Learning (ML) Fundamentals
    Gain an overview of key concepts, ethical considerations, and the foundational skills needed to navigate this dynamic field.
    Natural Language Processing (NLP)
    • 2 Quizzes
    • 1 Project

    • Text preprocessing

    • Bag of Words, TF-IDF

    • Word Embeddings (Word2Vec, GloVe)

    • Transformers & BERT

    • 2 Quizzes
    • 1 Project

    • Big Data fundamentals (Hadoop, Spark)

    • Distributed computing

    • Cloud basics (AWS/GCP/Azure)

    • 2 Quizzes
    • 1 Project
    • Overview of the Course Modules 
    • Brief on Assignments and Assessments
    Gain an overview of key concepts, ethical considerations, and the foundational skills needed to navigate this dynamic field.
    SQL & Databases
    • 2 Quizzes
    • 1 Project

    • SQL queries: SELECT, JOIN, GROUP BY

    • Relational vs NoSQL

    • Database design concepts

    • 2 Quizzes
    • 1 Project

    • REST APIs (Flask, FastAPI)

    • Docker & containerization

    • CI/CD basics

    • Model monitoring

    • 2 Quizzes
    • 1 Project

    • Bias & fairness

    • Data privacy (GDPR basics)

    • Explainable AI (XAI)

    Our cyber security graduates have been hired by these companies

    FAQ’S

    Frequently Asked Questions.

    Do I need prior experience in tech to benefit from our Programs?
    Not at all! Our Programs are designed for learners at all levels. We offer beginner-friendly programs that start from the basics, as well as advanced courses for experienced professionals. Our AI-driven assessment helps place you in the right program for your current skill level.
     
    How do I find a school where I want to study?

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    Where should I study abroad?

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