Professional Certification Courses by Pickl.AI: Empower Your Career

Programs offered by Pickl.AI

Pickl.AI offers the Best Data Science Courses in India for beginners and professionals.

Start your journey

Learn Data Science for free

Milestone of Certification

Get Certified with the Course

Learn with real life Case Studies

Practice with Case Studies

With the course completion certificate

Add an Internship Certificate

with Job Guarantee Program

Avail Job Assurance

Course Fees

Free

course duration

60 hrs (Self Paced)

certificate Get certified with an industry recognized Data Science Certificate

live case study Go beyond theory, explore the real-world case studies

internship On-job learning with internship opportunity

11 Modules • 462 Lessons

module 1

The Data Mindset

module 2

Advanced SQL

module 3

BI-Tableau

module 4

Power BI

module 5

Python for Data Science

module 6

Statistics

module 7

Intro to Machine Learning

module 8

Supervised Learning 1 (Regression Modeling)

module 9

Supervised Learning 2 (Bagging, Boosting)

module 10

Unsupervised Learning (Clustering)

module 11

Prompt Engineering (ChatGPT)

What is Data Analysis?

Skills for Data Analysis

Introduction to Excel

Introduction to DBMS

Introduction to SQL & DBMS

MySQL Installation

SQL Concepts

Understanding Databases

SQL - Phase -1

Constraints in MySQL

Loading the "Employees" Database

SQL 'Select'

SQL 'Insert' , 'Update' & 'Delete'

Aggregate Functions

Joins

SQL Sub Queries

Self Join & Views

Stored Routines

Variables in SQL

Window Functions

Common Table Expressions

Introduction to Tableau

Basics of Tableau

Tableau Calculations

Essential Charts

Filters in Tableau

Sets, Groups & Clusters

Introduction to Advanced Concepts

Introduction to Power BI

Getting Started with Power BI Desktop

Power Query Editor

Data Modeling

Data Visualization & Formatting

Bookmarks and View Switching

DAX

Power BI Dashboards

Security in Power BI

Power BI Service

Best Practices

Introduction to Python

Basics of Python

In-built Data Structures in Python

Strings

List & Dictionary Comprehension

Functions

Object Oriented Programming

Working with Files

Exception handling

Numpy

Pandas

Visualization

Installation of VS Code

Python Extension

Introduction to Statistics

Exploratory Data Analysis

Probability Theory

Sampling Theory

Probability Distributions

Central Limit Theorem

Inferential Statistics

Correlation and Regression Analysis

Scipy

Linear Algebra and Calculus

Introduction to Machine Learning

How Does a Machine Learn

Exploratory Data Analysis

Feature Engineering

Linear Regression

Logistic Regression

Decision Tree

Bagging

Boosting

Random Forest

Data Clustering

Data Mining

Predictive Modeling - Setiment Analysis

Stock Price Prediction Using Generative AI

Course Fees

₹500

course duration

60 hrs (Self Paced)

certificate Get certified with an industry recognized Data Science Certificate

live case study Go beyond theory, explore the real-world case studies

internship On-job learning with internship opportunity

11 Modules • 462 Lessons

module 1

The Data Mindset

module 2

Advanced SQL

module 3

BI-Tableau

module 4

Power BI

module 5

Python for Data Science

module 6

Statistics

module 7

Intro to Machine Learning

module 8

Supervised Learning -1 (Regression Modeling)

module 9

Supervised Learning -2 (Bagging, Boosting)

module 10

Unsupervised Learning (Clustering)

module 11

Prompt Engineering (Chatgpt)

Introduction to Data Analytics

Anatomy of Data

Tools for Analyzing Data - Excel

Tools for Analyzing Data - SQL

Introduction to SQL & DBMS

MySQL Installation

SQL Concepts

Understanding Databases

SQL - Phase -1

Constraints in MySQL

Loading the "Employees" Database

SQL 'Select'

SQL 'Insert' , 'Update' & 'Delete'

Aggregate Functions

Joins

SQL Sub Queries

Self Join & Views

Stored Routines

Variables in SQL

Window Functions

Common Table Expressions

Introduction to Tableau

Basics of Tableau

Tableau Calculations

Essential Charts

Filters in Tableau

Sets, Groups & Clusters

Introduction to Advanced Concepts

Introduction to Power BI

Getting Started with Power BI Desktop

Power Query Editor

Data Modeling

Data Visualization & Formatting

Bookmarks and View Switching

DAX

Power BI Dashboards

Security in Power BI

Power BI Service

Best Practices

Introduction to python

Basics of Python

In-built Data Structures in Python

Strings

List & Dictionary Comprehension

Functions

Object Oriented Programming

Working with Files

Exception handling

Numpy

Pandas

Visualization

Installation of VS Code

Python Extension

Introduction to Statistics

Exploratory Data Analysis

Probability Theory

Sampling Theory

Probability Distributions

Central Limit Theorem

Inferential Statistics

Correlation and Regression Analysis

Scipy

Linear Algebra and Calculus

Introduction to Machine Learning

How Does a Machine Learn

Exploratory Data Analysis

Feature Engineering

Linear Regression

Logistic Regression

Decision Tree

Bagging

Boosting

Random Forest

Data Clustering

Data Mining

Predictive Modeling - Setiment Analysis

Stock Price Prediction Using Generative AI

Course Fees

₹15,000

course duration

5.5 months

certificate Get certified with an industry recognized Data Science Certificate

live case study Go beyond theory, explore the real-world case studies

internship On-job learning with internship opportunity

11 Modules • 462 Lessons

module 1

The Data Mindset

module 2

Advanced SQL

module 3

BI-Tableau

module 4

Power BI

module 5

Python for Data Science

module 6

Statistics

module 7

Intro to Machine Learning

module 8

Supervised Learning 1 (Regression Modeling)

module 9

Supervised Learning 2 (Bagging, Boosting)

module 10

Unsupervised Learning (Clustering)

module 11

Prompt Engineering (ChatGPT)

Introduction to Data Analytics

Anatomy of Data

Tools for Analysing Data - Excel

Tools for Analysing Data - SQL

Introduction to SQL & DBMS

MySQL Installation

SQL Concepts

Understanding Databases

SQL - Phase -1

Constraints in MySQL

Loading the "Employees" Database

SQL 'Select'

SQL 'Insert' , 'Update' & 'Delete'

Aggregate Functions

Joins

SQL Sub Queries

Self Join & Views

Stored Routines

Variables in SQL

Window Functions

Common Table Expressions

Introduction to Tableau

Basics of Tableau

Tableau Calculations

Essential Charts

Filters in Tableau

Sets, Groups & Clusters

Introduction to Advanced Concepts

Introduction to Power BI

Getting Started with Power BI Desktop

Power Query Editor

Data Modeling

Data Visualization & Formatting

Bookmarks and View Switching

DAX

Power BI Dashboards

Security in Power BI

Power BI Service

Best Practices

Introduction to python

Basics of Python

In-built Data Structures in Python

Strings

List & Dictionary Comprehension

Functions

Object Oriented Programming

Working with Files

Exception handling

Numpy

Pandas

Visualization

Installation of VS Code

Python Extension

Introduction to Statistics

Exploratory Data Analysis

Probability Theory

Sampling Theory

Probability Distributions

Central Limit Theorem

Inferential Statistics

Correlation and Regression Analysis

Scipy

Linear Algebra and Calculus

Introduction to Machine Learning

How Does a Machine Learn

Exploratory Data Analysis

Feature Engineering

Linear Regression

Logistic Regression

Decision Tree

Bagging

Boosting

Random Forest

Data Clustering

Data Mining

Predictive Modeling - Setiment Analysis

Stock Price Prediction Using Generative AI

Course Fees

₹30,000

course duration

6.5 months

certificate Get certified with an industry recognized Data Science Certificate

live case study Go beyond theory, explore the real-world case studies

internship On-job learning with internship opportunity

11 Modules • 462 Lessons

module 1

The Data Mindset

module 2

Advanced SQL

module 3

BI-Tableau

module 4

Power BI

module 5

Python for Data Science

module 6

Statistics

module 7

Intro to Machine Learning

module 8

Supervised Learning-1 (Regression Modeling)

module 9

Supervised Learning-2 (Bagging, Boosting)

module 10

Unsupervised Learning (Clustering)

module 11

Prompt Engineering (ChatGPT)

Introduction to Data Analysis

Preview

Anatomy of Data

Preview

Tools for Analyzing Data - Excel

Tools for Analyzing Data - SQL

Introduction to SQL & DBMS

MySQL Installation

SQL Concepts

Understanding Databases

SQL - Phase -1

Constraints in MySQL

Loading the "Employees" Database

SQL 'Select'

SQL 'Insert' , 'Update' & 'Delete'

Aggregate Functions

Joins

SQL Sub Queries

Self Join & Views

Stored Routines

Variables in SQL

Window Functions

Common Table Expressions

Introduction to Tableau

Basics of Tableau

Tableau Calculations

Essential Charts

Filters in Tableau

Sets, Groups & Clusters

Introduction to Advanced Concepts

Introduction to Power BI

Getting Started with Power BI Desktop

Power Query Editor

Data Modeling

Data Visualization & Formatting

Bookmarks and View Switching

DAX

Power BI Dashboards

Security in Power BI

Power BI Service

Best Practices

Introduction to Python

Basics of Python

In-built Data Structures in Python

Strings

List & Dictionary Comprehension

Functions

Object Oriented Programming

Working with Files

Exception handling

Numpy

Pandas

Visualization

Installation of VS Code

Python Extension

Introduction to Statistics

Exploratory Data Analysis

Probability Theory

Sampling Theory

Probability Distributions

Central Limit Theorem

Inferential Statistics

Correlation and Regression Analysis

Scipy

Linear Algebra and Calculus

Introduction to Machine Learning

How Does a Machine Learn

Exploratory Data Analysis

Feature Engineering

Linear Regression

Logistic Regression

Decision Tree

Bagging

Boosting

Random Forest

Data Clustering

Data Mining

Predictive Modeling - Setiment Analysis

Stock Price Prediction Using Generative AI

Course Fees

₹1,75,000

course duration

1 Year

certificate Get certified with an industry recognized Data Science Certificate

live case study Go beyond theory, explore the real-world case studies

internship On-job learning with internship opportunity

10 Modules • 246 Lessons Lessons

module 1

The Data Mindset

module 2

Advanced SQL

module 3

Business Intelligence-Tableau

module 4

Python

module 5

Introduction to Statistics

module 6

Introduction to Machine Learning

module 7

Supervised Learning 1 (Regression Modeling)

module 8

Supervised Learning 2 (Supervised Learning)

module 9

Unsupervised Learning

module 10

Power BI

Introduction to Data Analysis

Preview

Anatomy of Data

Preview

Tools for Analyzing Data - Excel

Tools for Analyzing Data - SQL

Introduction to SQL & DBMS

MySQL Installation

SQL Concepts

Understanding Databases

SQL - Phase -1

Constraints in MySQL

Employees - Database

SQL 'Select'

'Insert' , 'Update' & 'Delete'

Aggregate Functions

Joins

SQL Sub Queries

Self Join & Views

Stored Routines

Variables in SQL

Window Functions

Common Table Expression (CTE’s)

Introduction to Tableau

Basics of Tableau

Tableau Calculations

Essential Charts

Filters in Tableau

Sets, Groups & Clusters

Introduction to Advanced Concepts

Introduction to Python

Basics of Python

In built Data Structures in Python

Strings

List and Dictionary Comprehension

Functions

Object Oriented Programming

Working with Files

Exception Handling

Numpy

Pandas

Visualization

Installation of VS Code

Intro to Statistics

Types of Variables

Measures of Central Tendency & Spread

Measuring Position

Histograms

Types of Distributions

Normal Distribution

Central Limit Theorem

Confidence Intervals

T-Distribution

Hypothesis Testing

Examples of Hypothesis Testing

Tutorials

Introduction

Learning process

EDA_FE

Feature Selection

How a Model Learns

Measuring Performance

Model Performance

Bias-Variance

Visualization

Feature Engg Demo

Feature Scaling

Introduction to Linear Regression

Model Training - Linear Regression

Model evaluation - Linear Regression

Regularisation - Linear Regression

Assumptions of Linear Regression

Locally weighted Linear Regression

Demonstration - Linear Regression

Introduction to Logistic Regression

Model Training - Logistic Regression

Model Evaluation - Logistic Regression

Demonstration - Logistic Regression

Multiclass Classification

Intro to Decision Trees

Classification Trees

Bagging

Boosting

K-means Clustering

Demo-K-Means

Hierarchial Clustering

Association rule mining

Demo-Association Rule Mining

Recommendation Systems

Introduction to Power BI

Getting Started with Power BI Desktop

Power Query Editor

Data Modelling

Data Visualization & Formatting

Bookmarks and View Switching

DAX

Power BI Dashboards

Security in Power BI

Power BI Service

Best Practices

Programs offered by Pickl.AI

Pickl.AI offers the Best Data Science Courses in India for beginners and professionals.

Start your journey

Learn Data Science for free

Course Fees

Free

course duration

60 hrs (Self Paced)

certificate Get certified with an industry recognized Data Science Certificate

live case study Go beyond theory, explore the real-world case studies

internship On-job learning with internship opportunity

11 Modules • 462 Lessons

What is Data Analysis?

Skills for Data Analysis

Introduction to Excel

Introduction to DBMS

Introduction to SQL & DBMS

MySQL Installation

SQL Concepts

Understanding Databases

SQL - Phase -1

Constraints in MySQL

Loading the "Employees" Database

SQL 'Select'

SQL 'Insert' , 'Update' & 'Delete'

Aggregate Functions

Joins

SQL Sub Queries

Self Join & Views

Stored Routines

Variables in SQL

Window Functions

Common Table Expressions

Introduction to Tableau

Basics of Tableau

Tableau Calculations

Essential Charts

Filters in Tableau

Sets, Groups & Clusters

Introduction to Advanced Concepts

Introduction to Power BI

Getting Started with Power BI Desktop

Power Query Editor

Data Modeling

Data Visualization & Formatting

Bookmarks and View Switching

DAX

Power BI Dashboards

Security in Power BI

Power BI Service

Best Practices

Introduction to Python

Basics of Python

In-built Data Structures in Python

Strings

List & Dictionary Comprehension

Functions

Object Oriented Programming

Working with Files

Exception handling

Numpy

Pandas

Visualization

Installation of VS Code

Python Extension

Introduction to Statistics

Exploratory Data Analysis

Probability Theory

Sampling Theory

Probability Distributions

Central Limit Theorem

Inferential Statistics

Correlation and Regression Analysis

Scipy

Linear Algebra and Calculus

Introduction to Machine Learning

How Does a Machine Learn

Exploratory Data Analysis

Feature Engineering

Linear Regression

Logistic Regression

Decision Tree

Bagging

Boosting

Random Forest

Data Clustering

Data Mining

Predictive Modeling - Setiment Analysis

Stock Price Prediction Using Generative AI

Enroll Now

Learn more about this course

Milestone of Certification

Get Certified with the Course

Course Fees

₹500

course duration

60 hrs (Self Paced)

certificate Get certified with an industry recognized Data Science Certificate

live case study Go beyond theory, explore the real-world case studies

internship On-job learning with internship opportunity

11 Modules • 462 Lessons

Introduction to Data Analytics

Anatomy of Data

Tools for Analyzing Data - Excel

Tools for Analyzing Data - SQL

Introduction to SQL & DBMS

MySQL Installation

SQL Concepts

Understanding Databases

SQL - Phase -1

Constraints in MySQL

Loading the "Employees" Database

SQL 'Select'

SQL 'Insert' , 'Update' & 'Delete'

Aggregate Functions

Joins

SQL Sub Queries

Self Join & Views

Stored Routines

Variables in SQL

Window Functions

Common Table Expressions

Introduction to Tableau

Basics of Tableau

Tableau Calculations

Essential Charts

Filters in Tableau

Sets, Groups & Clusters

Introduction to Advanced Concepts

Introduction to Power BI

Getting Started with Power BI Desktop

Power Query Editor

Data Modeling

Data Visualization & Formatting

Bookmarks and View Switching

DAX

Power BI Dashboards

Security in Power BI

Power BI Service

Best Practices

Introduction to python

Basics of Python

In-built Data Structures in Python

Strings

List & Dictionary Comprehension

Functions

Object Oriented Programming

Working with Files

Exception handling

Numpy

Pandas

Visualization

Installation of VS Code

Python Extension

Introduction to Statistics

Exploratory Data Analysis

Probability Theory

Sampling Theory

Probability Distributions

Central Limit Theorem

Inferential Statistics

Correlation and Regression Analysis

Scipy

Linear Algebra and Calculus

Introduction to Machine Learning

How Does a Machine Learn

Exploratory Data Analysis

Feature Engineering

Linear Regression

Logistic Regression

Decision Tree

Bagging

Boosting

Random Forest

Data Clustering

Data Mining

Predictive Modeling - Setiment Analysis

Stock Price Prediction Using Generative AI

Enroll Now

Learn more about this course

Learn with real life Case Studies

Practice with Case Studies

Course Fees

₹15,000

course duration

5.5 months

certificate Get certified with an industry recognized Data Science Certificate

live case study Go beyond theory, explore the real-world case studies

internship On-job learning with internship opportunity

11 Modules • 462 Lessons

Introduction to Data Analytics

Anatomy of Data

Tools for Analysing Data - Excel

Tools for Analysing Data - SQL

Introduction to SQL & DBMS

MySQL Installation

SQL Concepts

Understanding Databases

SQL - Phase -1

Constraints in MySQL

Loading the "Employees" Database

SQL 'Select'

SQL 'Insert' , 'Update' & 'Delete'

Aggregate Functions

Joins

SQL Sub Queries

Self Join & Views

Stored Routines

Variables in SQL

Window Functions

Common Table Expressions

Introduction to Tableau

Basics of Tableau

Tableau Calculations

Essential Charts

Filters in Tableau

Sets, Groups & Clusters

Introduction to Advanced Concepts

Introduction to Power BI

Getting Started with Power BI Desktop

Power Query Editor

Data Modeling

Data Visualization & Formatting

Bookmarks and View Switching

DAX

Power BI Dashboards

Security in Power BI

Power BI Service

Best Practices

Introduction to python

Basics of Python

In-built Data Structures in Python

Strings

List & Dictionary Comprehension

Functions

Object Oriented Programming

Working with Files

Exception handling

Numpy

Pandas

Visualization

Installation of VS Code

Python Extension

Introduction to Statistics

Exploratory Data Analysis

Probability Theory

Sampling Theory

Probability Distributions

Central Limit Theorem

Inferential Statistics

Correlation and Regression Analysis

Scipy

Linear Algebra and Calculus

Introduction to Machine Learning

How Does a Machine Learn

Exploratory Data Analysis

Feature Engineering

Linear Regression

Logistic Regression

Decision Tree

Bagging

Boosting

Random Forest

Data Clustering

Data Mining

Predictive Modeling - Setiment Analysis

Stock Price Prediction Using Generative AI

Enroll Now

Learn more about this course

With the course completion certificate

Add an Internship Certificate

Course Fees

₹30,000

course duration

6.5 months

certificate Get certified with an industry recognized Data Science Certificate

live case study Go beyond theory, explore the real-world case studies

internship On-job learning with internship opportunity

11 Modules • 462 Lessons

Introduction to Data Analysis

Preview

Anatomy of Data

Preview

Tools for Analyzing Data - Excel

Tools for Analyzing Data - SQL

Introduction to SQL & DBMS

MySQL Installation

SQL Concepts

Understanding Databases

SQL - Phase -1

Constraints in MySQL

Loading the "Employees" Database

SQL 'Select'

SQL 'Insert' , 'Update' & 'Delete'

Aggregate Functions

Joins

SQL Sub Queries

Self Join & Views

Stored Routines

Variables in SQL

Window Functions

Common Table Expressions

Introduction to Tableau

Basics of Tableau

Tableau Calculations

Essential Charts

Filters in Tableau

Sets, Groups & Clusters

Introduction to Advanced Concepts

Introduction to Power BI

Getting Started with Power BI Desktop

Power Query Editor

Data Modeling

Data Visualization & Formatting

Bookmarks and View Switching

DAX

Power BI Dashboards

Security in Power BI

Power BI Service

Best Practices

Introduction to Python

Basics of Python

In-built Data Structures in Python

Strings

List & Dictionary Comprehension

Functions

Object Oriented Programming

Working with Files

Exception handling

Numpy

Pandas

Visualization

Installation of VS Code

Python Extension

Introduction to Statistics

Exploratory Data Analysis

Probability Theory

Sampling Theory

Probability Distributions

Central Limit Theorem

Inferential Statistics

Correlation and Regression Analysis

Scipy

Linear Algebra and Calculus

Introduction to Machine Learning

How Does a Machine Learn

Exploratory Data Analysis

Feature Engineering

Linear Regression

Logistic Regression

Decision Tree

Bagging

Boosting

Random Forest

Data Clustering

Data Mining

Predictive Modeling - Setiment Analysis

Stock Price Prediction Using Generative AI

Enroll Now

Learn more about this course

with Job Guarantee Program

Avail Job Assurance

Course Fees

₹1,75,000

course duration

1 Year

certificate Get certified with an industry recognized Data Science Certificate

live case study Go beyond theory, explore the real-world case studies

internship On-job learning with internship opportunity

10 Modules • 246 Lessons Lessons

Introduction to Data Analysis

Preview

Anatomy of Data

Preview

Tools for Analyzing Data - Excel

Tools for Analyzing Data - SQL

Introduction to SQL & DBMS

MySQL Installation

SQL Concepts

Understanding Databases

SQL - Phase -1

Constraints in MySQL

Employees - Database

SQL 'Select'

'Insert' , 'Update' & 'Delete'

Aggregate Functions

Joins

SQL Sub Queries

Self Join & Views

Stored Routines

Variables in SQL

Window Functions

Common Table Expression (CTE’s)

Introduction to Tableau

Basics of Tableau

Tableau Calculations

Essential Charts

Filters in Tableau

Sets, Groups & Clusters

Introduction to Advanced Concepts

Introduction to Python

Basics of Python

In built Data Structures in Python

Strings

List and Dictionary Comprehension

Functions

Object Oriented Programming

Working with Files

Exception Handling

Numpy

Pandas

Visualization

Installation of VS Code

Intro to Statistics

Types of Variables

Measures of Central Tendency & Spread

Measuring Position

Histograms

Types of Distributions

Normal Distribution

Central Limit Theorem

Confidence Intervals

T-Distribution

Hypothesis Testing

Examples of Hypothesis Testing

Tutorials

Introduction

Learning process

EDA_FE

Feature Selection

How a Model Learns

Measuring Performance

Model Performance

Bias-Variance

Visualization

Feature Engg Demo

Feature Scaling

Introduction to Linear Regression

Model Training - Linear Regression

Model evaluation - Linear Regression

Regularisation - Linear Regression

Assumptions of Linear Regression

Locally weighted Linear Regression

Demonstration - Linear Regression

Introduction to Logistic Regression

Model Training - Logistic Regression

Model Evaluation - Logistic Regression

Demonstration - Logistic Regression

Multiclass Classification

Intro to Decision Trees

Classification Trees

Bagging

Boosting

K-means Clustering

Demo-K-Means

Hierarchial Clustering

Association rule mining

Demo-Association Rule Mining

Recommendation Systems

Introduction to Power BI

Getting Started with Power BI Desktop

Power Query Editor

Data Modelling

Data Visualization & Formatting

Bookmarks and View Switching

DAX

Power BI Dashboards

Security in Power BI

Power BI Service

Best Practices

Learn more about this course

Learn Data Science for Free

Free

Data Science Certification

₹ 500

Learn Data Science with Case Studies

₹ 15,000

Learn with Case Studies and Internships

₹ 30,000

Job Guarantee Program

₹ 1,75,000

Programs offered by Pickl.AI

Learn Data Science for free

Get Certified with the Course

Practice with Case Studies

Add an Internship Certificate

Avail Job Assurance

Free

60 hrs (Self Paced)

The Data Mindset

Advanced SQL

BI-Tableau

Power BI

Python for Data Science

Statistics

Intro to Machine Learning

Supervised Learning 1 (Regression Modeling)

Supervised Learning 2 (Bagging, Boosting)

Unsupervised Learning (Clustering)

Prompt Engineering (ChatGPT)

₹500

60 hrs (Self Paced)

The Data Mindset

Advanced SQL

BI-Tableau

Power BI

Python for Data Science

Statistics

Intro to Machine Learning

Supervised Learning -1 (Regression Modeling)

Supervised Learning -2 (Bagging, Boosting)

Unsupervised Learning (Clustering)

Prompt Engineering (Chatgpt)

₹15,000

5.5 months

The Data Mindset

Advanced SQL

BI-Tableau

Power BI

Python for Data Science

Statistics

Intro to Machine Learning

Supervised Learning 1 (Regression Modeling)

Supervised Learning 2 (Bagging, Boosting)

Unsupervised Learning (Clustering)

Prompt Engineering (ChatGPT)

₹30,000

6.5 months

The Data Mindset

Advanced SQL

BI-Tableau

Power BI

Python for Data Science

Statistics

Intro to Machine Learning

Supervised Learning-1 (Regression Modeling)

Supervised Learning-2 (Bagging, Boosting)

Unsupervised Learning (Clustering)

Prompt Engineering (ChatGPT)

₹1,75,000

1 Year

The Data Mindset

Advanced SQL

Business Intelligence-Tableau

Python

Introduction to Statistics

Introduction to Machine Learning

Supervised Learning 1 (Regression Modeling)

Supervised Learning 2 (Supervised Learning)

Unsupervised Learning

Power BI