Keerti Education

Practical Certificate Course in Data Science with AI & ML

Professional Certificate Course in Data Science with AI & ML

The Professional Certificate Course in Data Science with AI & ML is a rigorous 240-hour program designed to equip participants with practical skills in Python programming, data analysis, and machine learning.

Our Course Highlights

Master Data Science with 240 hours of hands-on training.

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Google Reviews

4.4/5

10.5K Happy Reviews

28+ Yrs

EDU EXCELLENCE

30 Lacs+

STUDENTS TRAINED

400+

JOB ORIENTED COURSES

700+

NETWORK OF CENTERS

1,000+

RECRUITERS CONNECT

why keerti education for Data Science with AI & ML

This course prepares graduates for roles such as Data Scientist, Machine Learning Engineer, and more, through hands-on projects, ethical considerations, and comprehensive training.

Assured Placement Assistance

Know More about Data Science with AI & ML

Download Our Data Science with AI & ML Brochure And Complete Course Information

Master the Essential Data Science with AI & ML Tools with Our Intensive Course

Master the essential Data Science with AI & ML tools with our intensive course.

Data Science with AI & ML Certificate

Stand out in the industry with a recognized certification that showcases
your mastery of Data Science with AI & ML and practices.

Centres of Data Science with AI & ML Keerti Education in Mumbai

Keerti Education Centre in Mumbai offers various batches, each providing comprehensive courses and training in Data Science with AI & ML.

Borivali (W)
Dadar (W)
Thane (W)

curriculum for practical Data Science with AI & ML course

Explore the dynamic world of Data Science with AI & ML through our comprehensive modules.

  • Introductions to Data Science
  • Domains in Data science
  • Need of Data science
  • Use of Data science in Business
  • Lifecycle of Data science Project
  • Data science Tools and Technologies
  • Basics of Excel for analysis
  • Required Skill for Data Science
  •  
    • Types of data
    • Measures of central tendency and Dispersion
    • Sampling Techniques
    • Descriptive vs Inferential Statistics
    • Hypothesis & inferences Testing
    1. F Test
    2. T test
    3. ANNOVA
    4. Chi Square Test
    • Confidence Interval
    • Central Limit Theorem
    • P value
    • Variables
    Covariance and Correlation
  • Excel Essentials
  • Working with Multiple Worksheet
  • Cell Referencing
  • Working with Data Lists
  • Conditional Formatting
  • Data Validation
  • What-If Analysis
  • Formula Auditing
  • Protection Sheet
  •  
  • Introduction to Python
  • Command line basics
  • Numbers, Operators & Comments
  • Variables & Strings
  • Boolean & Conditional Logic
  • Looping in Python
  • Lists
  • Dictionaries
  • Tuples & sets
  • Functions
  • Modules
  • OOP
  • File I/O
  • Loading the file
  • Handling Missing values (Numerical / Categorical)
  • Graphical Exploratory Analysis (Seaborn / Matplotlib)
  •  
  • Introduction To AI
  • Why AI is Required
  • What is Neuron
  • Architecture of Artificial Neural Network
  • Neural Network Modules
  • Activation Functions
  • Optimization Function
  • Cost function
  • Dense Neural Network
  • Regularization
  • Gradient Descent
  •  
  • Supervised Learning
  • Unsupervised
  • Metrics
  • Dimension Reduction
  • Models
  • Time Series Analysis
  • Hyperparameter Tuning / Advanced ML Models
  • Introduction to Git & Distributed
  • Version Control
  • Git Life Cycle
  • Create Clone & Commit Operations
  • Push & Update Operations
  • Stash, Move, Rename & Delete
  • Operations
  • Architecture of Tableau
  • Product Components
  • Working with Metadata and Data Blending
  • Data Connectors
  • Data Model
  • File Types
  • Dimensions & Measures
  • Data Source Filters
  • Creation of sets
  • Gantt Chart
  • Funnel Chart
  • Waterfall Chart
  • Working with Filters
  • Organizing Data and Visual Analytics
  • Working with Mapping
  • Working with Calculations and Expressions
  • Working with Parameters
  • Charts and Graphs
  • Dashboard Creation
  • Selecting & Retrieving Data with SQL
  • Filtering, Sorting and Calculating Data With SQL
  • Subqueries and Joins in SQL

Data Science with AI & ML course in mumbai, designed for students & working professionals

boy review
Shubham Santosh Borhade Working Professional

"Joining this program was the best decision for my career. The expert instruction and the practical experience have opened up numerous job opportunities for me in the VFX industry."

boy review
Baldeep Sunil Khande Student

"The career preparation and portfolio development sessions were truly beneficial. They helped me understand what top studios are looking for and how to present my work effectively."

girl review
Sejal Vishwesh Rajwade Student

"The industry-relevant projects we worked on were challenging yet very rewarding. They prepared me well for the complexities of real-life VFX projects."

I’m Interested in This Program

Data Science with AI & ML Certificate

Keerti’s Data Science with AI & ML certification focuses on imparting fundamental to advanced level knowledge and skills in Data Science with AI & ML, preparing individuals for entry-level to mid-senior level positions in the industry.

frequently asked question

Course / Content

Basic understanding of statistics and programming.

Approximately 12 months, part-time.

Yes, downloadable resources are available.

Business / Entrepreneur

It equips entrepreneurs with skills to leverage data for business decisions.

Yes, mentoring sessions with experts are included.

Yes, there are networking events and guest lectures by industry leaders.

Job & Certification

Data Scientist, Machine Learning Engineer, AI Specialist.

Yes, they are widely recognized by leading tech companies.

Dedicated career support services and job placement assistance.

Fees & Payments

The course fee is subject to periodic review; please contact us for current details.

Yes, scholarships are available for eligible candidates.

Yes, flexible payment plans are offered

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