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Workshop detalis

Data Science with AI

Workshop: 2/3days
MCAPG
Enrolled: 60 students
(30 Reviews)

Data Science with Artificial Intelligence (AI) is an interdisciplinary field that combines data analysis, machine learning, and intelligent algorithms to extract meaningful insights and support automated decision-making. It involves collecting, processing, and analyzing large volumes of structured and unstructured data using statistical techniques, programming, and AI models.

Data Science with AI, data is cleaned and transformed using tools such as Python, Pandas, and NumPy, followed by exploratory data analysis (EDA) to identify trends and patterns. Machine Learning and Deep Learning algorithms are then applied to build predictive and intelligent systems capable of learning from data. AI techniques such as Natural Language Processing (NLP), Computer Vision, and recommendation systems are widely used to solve real-world problems.

Course description

This course provides a comprehensive introduction to Data Science integrated with Artificial Intelligence (AI). It focuses on collecting, analyzing, and interpreting large datasets to build intelligent, data-driven solutions. Learners will gain practical experience using Python and industry-standard libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, and basic Deep Learning frameworks.

What you'll learn from this course
  • Understanding the fundamentals of Data Science and Artificial Intelligence.
  • Learning Python for data analysis, including NumPy, Pandas, and Matplotlib.
  • Gaining knowledge of data collection, cleaning, and preprocessing techniques.
  • Performing Exploratory Data Analysis (EDA) to identify patterns and insights.
  • Understanding and implementing Machine Learning algorithms for prediction and classification.
Certification

At TechIn IT, we proudly assure that every Trainee who successfully completes our program will be awarded a certificate. We are officially associated with APSCHE, AICTE, MSME, Skill India, IAF, and NASSCOM. The certification will reflect the Trainees dedication and skill development, recognized under national-level standards .

  • Introduction to Data Science and AI

    Overview of Data Science and Artificial Intelligence.

    Applications of Data Science with AI in real life.

    Data Science lifecycle.

  • Data Analysis and Preprocessing

    Data collection and data cleaning.

    Handling missing values and outliers.

    Exploratory Data Analysis (EDA).

  • Machine Learning and AI Basics

    Introduction to Machine Learning.

    Supervised and Unsupervised Learning.

    Basic Machine Learning algorithms.

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