Cokonet

CoursesData ScienceData Science with AI

CID11015

Data Science with AI

This This comprehensive course equips learners with Python programming, NumPy, Pandas, and Matplotlib for data manipulation and visualization. Dive into machine learning, deep learning, NLP, and computer vision. Master Azure for MLOps to deploy and manage ML models. Prepare for a data science career with hands-on projects and real-world skills.

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duration

20 Weeks

NEXT BATCH

Mar 05, 2024

mode

Online

payment options

Program Overview

Explore data science and AI journey from Python basics to advanced machine learning and deep learning. Analyze data, visualize insights, and build AI models with industry-standard tools.

Master in-demand skills for extracting insights from data and building AI models

Learn to use popular tools and libraries such as Python and Keras

Understand how to apply AI techniques to real-world problems and make data-driven decisions

Open up career opportunities in data science, AI engineering, and related fields

Eligiblility

Basic understanding of math, stats, and programming. Python or R familiarity is beneficial but not mandatory. Open to students, professionals, and enthusiasts passionate about data science.

Why should you learn?

Upon completion, learners gain comprehensive Python, NumPy, Pandas, and Matplotlib skills for data manipulation and visualization. Acquire ML, DL, NLP, and CV skills for complex data challenges and data science careers.

Possible Job Roles

Upon course completion, learners can pursue diverse data science roles such as Data Analyst, Scientist, Machine Learning Engineer and AI engineer.

Salary Range

4 to 20 Lakhs Per Annum

Course Modules

20 Weeks COURSE

6 hours

Python For Data Science

The "Python" module covers basic programming concepts, string manipulation, data structures, date/time operations, and file handling, suitable for non-IT students.

Introduction to Python Programming
1 H
Variables, local and global variables, loops, functions, programming exercises
2 H
Python Strings
1 H
Operators Lists, Tuples, Dictionary, Date&Time,- Files I/O Exceptions
2 H

3 hours

NUMPY (Numerical Python)

The "NUMPY" module covers ndarray operations, universal functions, statistical functions, indexing, slicing, and advanced operations for numerical computing.

Ndarray Object
1 undefined
Numpy arrays-Basic Operations,Universal Functions
1 H
Arange, linspace, logspace Indexing and Slicing Statistical Functions Dot Products
1 H
Matrix Multiplication
1 H

5 hours

Pandas

The "Pandas" module covers Series and DataFrames, focusing on creation, manipulation, and essential functionalities for efficient data analysis.

Series
2 H
DataFrames
3 H

4 hours

Data Visualisation using Mathplotlib

The "Data Visualization with Matplotlib" module teaches core principles and techniques for creating effective visualizations, progressing to advanced charting.

Principles of Information Visualisation
1 H
Basic Charting
1 H
Charting Fundamentals
1 H
Applied Data Visualizations
1 H

5 hours

Machine Learning using sklearn

In "Machine Learning with sklearn," explore regression, classification, and clustering using various algorithms, enhancing machine learning model building skills.

Regression
1 H
Classification
2 H
Clustering
2 H

4 hours

Deep Learning using TensorFlow and Keras

Explore advanced neural network concepts, including CNNs for image processing, RNNs for sequence data, and LSTMs for long-term dependencies.

Introduction to Perceptron and Neural Networks (ANN)
1 H
CNN
1 H
RNN
1 H
LSTM
1 H

6 hours

NLP using NLTK and Spacy

Learn NLP fundamentals, including text tokenization, word lemmatization, semantics with word vectors, stop words, and sentiment analysis.

NLP Introduction and Basics
1 H
Tokenization
1 H
Lemmatization
1 H
Semantics and word vectors
1 H
Stop words
1 H
Sentimental Analysis
1 H

5 hours

Computer Vision using cv2

Explore image processing and computer vision essentials, including image/video manipulation, color/shape/face detection, and number plate extraction using OpenCV.

Image processing and Computer Vision basics
1 H
Loading Images and Videos
1 H
Color and Shape detection
1 H
Face detection
1 H
Number plate detection
1 H

3 hours

Generative AI for Data Science

Explore Prompt Engineering techniques and integrate Generative AI into the data science life cycle for data generation and analysis.

Introduction to Gen AI and LLM
1 H
Prompt Engineering
1 H
Data Science life cycle using Gen AI
1 H

5 hours

Azure for Data Science with MLOPs

Discover Azure tools for training ML models, orchestrating pipelines, deploying batch inference pipelines, and monitoring performance for efficient ML solutions.

Training ML models in Azure
1 H
Automating ML models
1 H
Orchestrating Pipelines
1 H
Deploying batch inference pipelines
1 H
Monitoring Performance
1 H

BROCHURE

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Certification of Completion

Certifies completion of data science course, covering fundamentals, machine learning, data analysis, and visualization.

Program Cohorts

Mar 2024 Batch

date

Mar 05, 2024

timings

19:00:00

batch type

Online

Admission Process at Cokonet

The course admission process at Cokonet involves streamlined procedures ensuring efficient enrollment for prospective students.

Step 1

Speak With our Career Counselor

Our career counselor will help you identify the suitable course for you.

Step 2

Complete Payment

Finalize the transaction securely, using the provided payment methods.

Step 3

Get Enrolled

Enroll in the chosen course, providing personal details and payment information

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Corporate Training

Readily Deployable Resources

“The great aim of education is not knowledge but action.”

Herbert Spencer

Financing & Support

0% Interest Loans

Access 0% interest loans (6/9/12 Months EMI) for your education, ensuring affordability while you pursue your dreams.

Pay in Installments

Ease your financial burden with our convenient installment payment options.

Scholarships

We believe in supporting aspiring learners by providing financial aid to help them pursue their dreams.

Laptop Support

Seamless assistance with our comprehensive laptop support services.

Are there any prerequisites for enrolling in the course?

Basic knowledge of mathematics, statistics, and programming concepts is recommended but not mandatory.

Do I need to know Python or R before taking this course?

What career opportunities does this course prepare me for?

Are there any specific software or tools required for the course?

Data Science with AI

Program Overview

Eligiblility

Why should you learn?

Possible Job Roles

Course Modules

Python For Data Science

Introduction to Python Programming

Variables, local and global variables, loops, functions, programming exercises

Python Strings

Operators Lists, Tuples, Dictionary, Date&Time,- Files I/O Exceptions

NUMPY (Numerical Python)

Ndarray Object

Numpy arrays-Basic Operations,Universal Functions

Arange, linspace, logspace Indexing and Slicing Statistical Functions Dot Products

Matrix Multiplication

Pandas

Series

DataFrames

Data Visualisation using Mathplotlib

Principles of Information Visualisation

Basic Charting

Charting Fundamentals

Applied Data Visualizations

Machine Learning using sklearn

Regression

Classification

Clustering

Deep Learning using TensorFlow and Keras

Introduction to Perceptron and Neural Networks (ANN)

CNN

RNN

LSTM

NLP using NLTK and Spacy

NLP Introduction and Basics

Tokenization

Lemmatization

Semantics and word vectors

Stop words

Sentimental Analysis

Computer Vision using cv2

Image processing and Computer Vision basics

Loading Images and Videos

Color and Shape detection

Face detection

Number plate detection

Generative AI for Data Science

Introduction to Gen AI and LLM

Prompt Engineering

Data Science life cycle using Gen AI

Azure for Data Science with MLOPs

Training ML models in Azure

Automating ML models

Orchestrating Pipelines

Deploying batch inference pipelines

Monitoring Performance

Get Brochure

Enquire this Program

Certification of Completion

Program Cohorts

Mar 2024 Batch

Admission Process at Cokonet

Speak With our Career Counselor

Complete Payment

Get Enrolled

Aswathy A

VP, Product

Companies that our Alumni work in

Join Cokonet

Identify your suitable courses in a few clicks

corporates

Looking to enroll your employees into this program?

Financing & Support

0% Interest Loans

Pay in Installments

Scholarships

Laptop Support

Data Science with AI: Frequently Asked Questions (FAQs)