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JOCJob-Oriented Program

Data Science Course In Gujarat

Learn how data becomes insight through Python, analysis, visual storytelling, and machine learning foundations.

Total Duration

14 Months

Track

6-8 Months

Learning Style

Practical + Guided

Data Science course hero

Flexible learning journey

Structured batches with practical momentum.

Project-backed output

Learn with work that feels closer to real tasks.

Mentor guidance

Clear checkpoints and practical review support.

Program Key Highlights

Why this program feels more practical, clearer, and easier to commit to

Before students commit, they usually look for proof that the course has real depth, practical support, and a structure that can actually move them forward. These are the signals that help build that trust.

14

Months of structured analytics learning

Datasets

Hands-on practical project work

BI

Visualization and dashboard exposure

ML

Machine learning workflow basics

Data Science program highlights

40+

Guided sessions

1200+

Student support touchpoints

Career

Role direction included

Data Science mentor guidance

Why Learners Relate To This Program

Move from raw data to useful insight with stronger analytical confidence

Learn Python, SQL, analysis logic, and data handling fundamentals

Understand visualization, storytelling, and decision-making support

Work through practical datasets and project-based analysis

Build a stronger base for analyst and data science growth paths

14 Months

Training Track

Projects

Real practice output

Career

Role-aware guidance

About This Course

A course journey that feels easier to understand and easier to follow

Data Science is not just about models. It begins with understanding data, cleaning it properly, identifying patterns, and communicating insights in a way that supports decisions. This course builds that journey step by step.

Learners work with practical data workflows instead of only abstract theory. The course is designed for students who want to grow into analysis, reporting, and data-driven problem solving with better clarity.

Eligibility

Who can confidently start this path

Open to students and freshers who enjoy logic, analysis, and pattern thinking

Basic programming awareness is useful but not mandatory to begin

A good fit for learners interested in analytics, AI, business insight, or data roles

Course Curriculum

Learn through a structured roadmap, not through disconnected chapters

Each module below represents a practical phase in the learning journey. Open any section to see the kind of topics and skills students work through.

Module 1

Python and Data Foundations

+
  • Python basics and notebook-based workflows
  • Data types, functions, and control structures
  • Introduction to NumPy and Pandas
  • Handling files, tabular data, and analysis setup

Module 2

SQL, Data Cleaning, and Exploration

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  • SQL fundamentals, filtering, joins, and querying
  • Cleaning, preprocessing, and missing value handling
  • Exploratory data analysis and pattern discovery
  • Understanding business questions through data

Module 3

Visualization and Model Thinking

+
  • Charts, dashboards, and data storytelling
  • Matplotlib, Seaborn, and insight presentation
  • Machine learning workflow awareness
  • Feature understanding, model basics, and evaluation logic

Module 4

Project Building and Role Direction

+
  • End-to-end analytics project on practical datasets
  • Recommendation building from patterns and results
  • Presentation of data findings and case explanation
  • Understanding analyst, BI, and data science role paths

Build Industry-Based Projects

What kind of practical output learners can expect from this course

Customer Behavior Prediction

Customer Behavior Prediction

Analyze historical data to discover patterns, segment behavior, and prepare recommendation logic for business decisions.

Fraud Detection Analysis

Fraud Detection Analysis

Study suspicious activity patterns, clean data properly, and support a data-driven risk identification workflow.

Insights Dashboard Case

Insights Dashboard Case

Create a reporting layer that turns data into visuals, trends, and clearer action points for stakeholders.

Tools They Will Learn

Category-wise tools, platforms, and software exposure

Programming & Analysis

Python

Python

Jupyter

Jupyter

Pandas

Pandas

NumPy

NumPy

Visualization & BI

Power BI

Power BI

Tableau

Tableau

SQL

SQL

ML & Workflow

scikit-learn

scikit-learn

TensorFlow

TensorFlow

Google Colab

Google Colab

Certificate

Earn a course completion certificate you can proudly showcase

Learners receive a horizontal course certificate that supports credibility, helps with sharing, and adds stronger proof of structured learning.

Recognized proof of learning

A clear course completion certificate that supports your practical learning journey and strengthens trust.

Shareable achievement

Useful to add in resumes, LinkedIn profiles, portfolios, and course completion updates.

Better presentation confidence

Helps learners present their effort and course completion in a more complete and professional way.

Data Science StackCode Training Institute certificate sample

Certificate Type

Training Completion

Track

Job-Oriented Program

Duration

14 Months

Job Scope After Course Completion

Where learners can start building their career after this course

Data Analyst

Junior Data Scientist

Business Intelligence Associate

Analytics Support Executive

Companies Hiring For These Skills

Roles from product brands and major service companies both value these skills

Product companies, service companies, startups, and digital teams actively hire for these kinds of practical skills.

Google
Meta
Amazon
Microsoft
Netflix
Adobe
IBM
Salesforce
Google
Meta
Amazon
Microsoft
Netflix
Adobe
IBM
Salesforce
TCS
Infosys
Accenture
Wipro
Cognizant
Capgemini
Oracle
Deloitte
TCS
Infosys
Accenture
Wipro
Cognizant
Capgemini
Oracle
Deloitte

Testimonial Videos

Hear from our students

Explore More Reviews
Aarav Patel
Sc

Aarav Patel

Student Story

The best part was that the course did not feel random. I always knew what I was learning and why it mattered.

Nidhi Shah
Sc

Nidhi Shah

Learner Review

Mentor support and project practice made it easier to move from doubt into actual confidence.

Meet Trivedi
Sc

Meet Trivedi

Career Path Review

I liked that the course connected skills with what employers actually expect instead of just covering topics.

Centres In Gujarat

Ahmedabad & Rajkot centers with guidance support

Ahmedabad

Ahmedabad Learning Center

A-1114 Siddhi Vinayak Tower, Kataria Automobiles Rd, Makarba, Ahmedabad, Gujarat 380051

Rajkot

Rajkot Learning Center

B-925 RK Iconic Tower, 150 Feet Ring Rd, nr. Shital Park, Rajkot, Gujarat 360006

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Frequently Asked Questions

Got questions? We've kept the answers simple, practical, and easier to scan before joining.

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Do I need coding experience before joining?+

No. The course starts with Python and data foundations before moving toward analysis, SQL, visualization, and machine learning workflow awareness.

Will I work with real datasets?+

Yes. The course is built around practical data handling, cleaning, exploration, dashboards, and project-based analysis.

Is this only for future data scientists?+

No. It is also useful for learners interested in analytics, BI, reporting, and data support roles.

Do dashboards and visualization matter in this course?+

Yes. Turning insight into understandable visuals is a key part of the learning flow, not an afterthought.