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Creatix Institute · Raja Park, JaipurData Science
Data Science
Course in Raja Park
Learn Python, data science, machine learning and AI through real-world projects. Build skills to collect, clean, analyze and visualize data, develop ML models and present useful insights.
- ✓Python for data science
- ✓SQL & statistics
- ✓Data analysis
- ✓Machine learning
- ✓Artificial intelligence
- ✓Data visualization
- ✓Practical projects
- ✓Portfolio development
- ✓AI workflows
- ✓Career support
Ask about the beginner learning path, current batches and free demo availability.
CREATIX · DATA LAB
Exploratory Data Analysisdataset: sample.csv
Records12.8k✓ clean
Features18↑ ready
Model fit0.91● score
TREND ANALYSIS
SEGMENTS
Data → InsightExplore · Model · Explain
Python + ML + AILearn by working with data
Turn data into useful insights
✦ Python & SQL✦ AI & ML✦ Practical projects✦ Portfolio learning✦ Career support
Quick answer
What is a Data Science Course? It teaches you to collect, clean, analyze and interpret data, then use statistical and machine learning techniques to investigate real-world problems. A practical curriculum generally includes Python, SQL, statistics, data analysis, visualization, machine learning and AI.
Python, SQL, NumPy, Pandas, visualization libraries and Scikit-learn are proposed; confirm tools included in the current course.
COLLECT · EXPLORE · EXPLAIN
Find the story inside the data.Analysis that moves from question to insight.
The course
Data Science Course in Raja Park, Jaipur at Creatix Institute
Data science is a practical discipline for using information to answer questions and support decisions. It can be applied to customer behavior, business operations, forecasting, recommendations and many other problems.
Learn a complete workflow: collect data, clean it, explore patterns, analyze and visualize findings, build and evaluate models, then explain what the results mean.
This is a Data Science + AI + Machine Learning pathway, not only a Python class. Develop practical projects and a portfolio as you learn.
12 modulesStructured learning path
End to endData workflow
JaipurOffline training
Data science workflow
From raw data to a decision-ready insight
Understand each step and how it connects to the original question.
CollectIdentify useful data sources.
CleanPrepare data for reliable analysis.
ExploreInspect patterns and relationships.
AnalyzeUse statistics to investigate.
VisualizeMake findings easier to understand.
ModelTrain a model for a defined task.
EvaluateCheck how well it performs.
ApplyExplain insights for a real context.
Why data science
Why learn Data Science?
Organizations use data to understand what is happening, make informed choices and build smarter services.
▥
Support data-informed decisions
Explore how evidence and analysis can help answer business questions.
⌘
Combine programming and analysis
Use Python, SQL and statistics to work with data from different sources.
AI
Explore machine learning
Learn model concepts and evaluation as part of a broader data workflow.
◈
Build demonstrable projects
Practical work can help communicate your approach and skills.
◎
Apply skills across industries
Data work appears in technology, finance, health, retail, marketing and more.
✦
Connect with AI
Explore how AI tools can support analysis while developing strong fundamentals.
Tools & technologies
Build a practical data science toolkit
The brief proposes these core tools. Confirm specific software and libraries against the current course program.
Programming foundation for data handling, analysis and modeling.
SQL, NumPy and Pandas for retrieving and preparing data.
Matplotlib and Seaborn for charts and data storytelling.
Scikit-learn concepts for model development and evaluation.
Power BI or Tableau may be used as applicable to the curriculum.
Jupyter Notebook or Google Colab for exploration and analysis.
Support coding, exploration, documentation and productivity workflows.
Query structured data and connect it to analysis tasks.
What you'll learn
From first dataset to evaluated model
Develop a foundation in coding and statistics, then apply it to exploration, visualization, machine learning and communication.
01
Python & data handling
Build Python foundations and prepare data with NumPy and Pandas.
02
SQL & statistics
Query datasets and use statistical concepts to interpret evidence.
03
Analysis & visualization
Explore data, identify patterns and communicate insights through visuals.
04
Machine learning & AI
Develop and evaluate models while exploring responsible AI workflows.
Complete syllabus
12 modules from Python foundations to portfolio
Open a module to explore the topics. Confirm the course schedule and current tool coverage with a Creatix counsellor.
01Data Science Fundamentals
- Introduction to Data Science
- Data Science lifecycle
- Data Science vs Data Analytics
- Business problems and data
- Types of data and sources
- Data collection
- Data Science workflow
- Industry applications
02Python Programming
- Python environment
- Variables, types and operators
- Conditions and loops
- Functions
- Lists, tuples, dictionaries and sets
- Strings and file handling
- Exception handling
- Modules and OOP basics
03NumPy
- Arrays and operations
- Indexing and slicing
- Mathematical operations
- Statistical operations
- Broadcasting
- Data processing
04Pandas & Data Cleaning
- Series and DataFrames
- Importing and inspecting data
- Missing values and duplicates
- Transformation and filtering
- Sorting and grouping
- Merging and joining
- Data cleaning
- Feature preparation
05Statistics for Data Science
- Descriptive statistics
- Probability
- Mean, median and mode
- Variance and standard deviation
- Percentiles and distributions
- Correlation and covariance
- Sampling
- Hypothesis testing
- Statistical interpretation
06SQL for Data Science
- Database fundamentals
- SELECT and WHERE
- ORDER BY and GROUP BY
- HAVING and aggregates
- JOINs and subqueries
- CASE statements
- Filtering
- Analytical queries
07Data Visualization
- Visualization fundamentals
- Matplotlib and Seaborn
- Bar, line and scatter charts
- Histograms and heatmaps
- Correlation visualization
- Data storytelling
- Dashboard fundamentals
08Exploratory Data Analysis
- EDA fundamentals
- Dataset understanding and profiling
- Missing-value analysis
- Outliers and correlation
- Pattern identification
- Feature relationships
- Business insights
- EDA project
09Machine Learning
- ML fundamentals and workflow
- Supervised and unsupervised learning
- Training and testing data
- Regression and classification
- Linear and logistic regression
- Decision trees and random forest
- KNN and clustering
- K-Means
- Model evaluation
10Advanced Machine Learning
- Feature engineering and selection
- Model comparison
- Cross-validation
- Hyperparameter tuning
- Overfitting and underfitting
- Bias vs variance
- Model optimization
- Performance evaluation
11AI & Data Science
- AI fundamentals
- AI vs ML vs Data Science
- Generative AI
- AI-assisted coding and data analysis
- Prompt engineering
- AI research workflows
- AI productivity tools
- AI + ML applications
- Responsible AI
12Professional Data Science Workflow
- Problem definition
- Dataset selection
- Data cleaning and EDA
- Feature engineering
- Model development and evaluation
- Business interpretation
- Documentation
- Project presentation
- Portfolio development
Practical projects
Learn by working through real data questions
Practice analysis, prediction, segmentation and communication with project-based learning.
ANALYSISSales Data
SEGMENTATIONCustomer Groups
E-COMMERCEBusiness Analytics
PREDICTIONHouse Prices
RETENTIONCustomer Churn
FINANCELoan Approval
PEOPLE ANALYTICSEmployee Attrition
MARKETINGCampaign Analysis
RISKFraud Detection Concept
PERSONALIZATIONRecommendation Concept
LANGUAGESentiment Analysis
CAPSTONEEnd-to-End Data Project
These are project concepts from the brief, not claims of completed student work or measured results. Add genuine Creatix student examples when available.
AI & machine learning
Use AI to support data work, not replace the fundamentals
Modern data professionals use AI tools to improve productivity while relying on core analytical judgment and verification.
⌘
Coding assistance
Explore code explanations and debugging help, then test what you use.
▥
Dataset exploration
Use assistance to investigate structures, quality and questions worth exploring.
◈
Model understanding
Support model explanations and communicate what findings may mean.
✎
Documentation
Speed up documentation and research workflows while checking accuracy.
Specific AI tools are included only where verified in the current program.
Why Creatix
Learn the workflow, then show what you can do
Py
Python-focused learning
Develop programming foundations for analysis and machine learning.
AI
AI + machine learning
Explore modern AI concepts alongside the foundations that make them useful.
▥
Data visualization
Practice turning analysis into clearer charts and explanations.
◈
Real-world projects
Apply your learning to datasets and practical project questions.
✓
Portfolio development
Present your process, analysis, models and findings.
↗
Career preparation
Explore interview preparation and applicable internship and placement support.
Course benefits
Build practical skills across data and AI
PyLearn Python programming
SQLQuery structured data
∑Understand statistics
▥Analyze real datasets
MLDevelop ML models
AIExplore AI concepts
◈Build projects & portfolio
✓Prepare for technical interviews
Who should join?
For curious learners ready to work with data
A beginner-friendly foundation can help you progress into analysis and machine learning. Programming practice is essential as you advance.
Students & graduatesEngineering studentsIT professionalsPython learnersAnalystsBeginners interested in AI/MLWorking professionalsCareer switchersAspiring Data Scientists
Career opportunities
Potential roles to explore
Career paths depend on your skills, experience and portfolio. This course does not guarantee a specific role or salary.
Data ScientistJunior Data ScientistData AnalystMachine Learning EngineerJunior ML EngineerBI AnalystData Science InternAI/ML AssociatePython Developer — DataResearch / Data AssociateFreelance Data Consultant
Industry paths
Where data science professionals work
Data analysis, modeling and AI applications appear in many sectors and business functions.
TechnologyFinTechE-commerceHealthcareEdTechMarketingManufacturingBankingInsuranceConsultingStartupsResearchPublic-sector projectsFreelancing
Internship & placement support
Resume building, technical interview preparation, portfolio and project guidance, internship opportunities, career counselling, job updates and placement assistance according to the enrolled program's actual terms.
Certification
Course completion and additional certificate details depend on the current Creatix program. Confirm exact certificate names and issuing bodies with a counsellor.
Training process
From Python foundations to a capstone project
Free counselling
Discuss eligibility, learning path and current options.
Try a demo
Explore the data science workflow before deciding.
Learn & practice
Build Python, SQL, statistics and ML foundations.
Build & present
Develop a capstone, portfolio and explore career support.
Let's talk
Talk to our career counsellor
Share a few details and continue your Data Science course or demo enquiry with Creatix on WhatsApp.
- ✓Ask about duration, fees and timings
- ✓Choose a Jaipur location
- ✓Get guidance on Python, AI/ML and projects
Local training
Data Science Course in Raja Park, Jaipur
Looking for data science classes or Python and machine learning training in Raja Park, Jaipur? Creatix Institute offers practical, career-oriented learning for students and professionals exploring data, AI and analytics. The course brief's proposed pathway spans Python, SQL, statistics, visualization and machine learning projects. Ask about current training at Mansarovar and Pratap Nagar.
Creatix Institute · Mansarovar
Near St. Wilfred's College, 120/27 1, Sector 12, Mansarovar, Jaipur, Rajasthan 302020
Get directions ↗Creatix Institute · Pratap Nagar
3rd Floor, Plot No. 100/SP/04, Sector-10, Tonk Road, Pratap Nagar, Sector 8, Sitapura Industrial Area, Sanganer, Jaipur, Rajasthan 302033
Get directions ↗At a glance
Course quick details
| Course | Data Science |
|---|---|
| Location | Jaipur · Mansarovar and Pratap Nagar |
| Mode | Offline / Practical |
| Level | Beginner to Advanced |
| Programming | Python |
| Data & statistics | SQL, data analysis and statistics |
| Machine learning & AI | Yes, according to current course coverage |
| Visualization | Data visualization and dashboards as applicable |
| Projects & portfolio | Practical projects and capstone as applicable |
| Internship & career support | Available according to applicable program and policy |
| Duration, fees & timings | Contact Creatix for current details |
Student work
Data projects & student reviews
Ask Creatix to see genuine Python, SQL, analysis, visualization and machine learning project work.
PROJECT CATEGORYPython Analysis
PROJECT CATEGORYSQL Insights
PROJECT CATEGORYML Models
PROJECT CATEGORYData Visualization
These are project categories, not published student work, model results or testimonials. Add genuine Creatix examples with permission before launch.
Frequently asked questions
Data Science course FAQs
Answers to common questions about data science training in Raja Park, Jaipur.
What is a Data Science Course?
A practical program teaching data collection, cleaning, analysis, statistics, visualization, machine learning and AI workflows.
Is Data Science suitable for beginners?
Yes. The curriculum can start with Python and data fundamentals before progressing to machine learning and AI.
Do I need coding knowledge?
Not necessarily for a beginner pathway, although regular programming practice is essential for becoming proficient in Data Science.
Will I learn Python?
Yes. Python is a core part of the proposed Data Science curriculum.
Is SQL included?
Yes. SQL can be taught for database querying and data analysis.
Will I learn Machine Learning?
The proposed syllabus includes supervised and unsupervised learning concepts and model evaluation.
Is AI included?
Relevant AI and Generative AI concepts and productivity workflows can be included, subject to the current course.
Will I learn Statistics?
Yes. Statistics and probability are important foundations in the proposed Data Science curriculum.
Will I learn Data Visualization?
The course can include Matplotlib, Seaborn and dashboard fundamentals, subject to current coverage.
Which Python libraries will I learn?
The proposed curriculum includes NumPy, Pandas, Matplotlib, Seaborn and Scikit-learn, subject to the actual program.
Will I work on real-world projects?
The course brief proposes practical datasets, machine learning projects and an end-to-end capstone. Ask Creatix for examples of current student work.
Do you provide a capstone project?
The proposed structure includes an end-to-end Data Science capstone. Confirm whether it is included in the current program.
Can I learn Data Science after graduation?
Yes. Graduates from suitable academic backgrounds can learn Data Science based on their learning goals and technical foundation.
What career options are available?
Potential paths include Data Scientist, Data Analyst, ML Engineer, BI Analyst, AI/ML Associate and Data Science Intern. Outcomes depend on skills and experience.
Can Data Science help me switch careers?
It can help you develop technical skills for a transition, but outcomes depend on your background, practice and portfolio.
Do you provide internship opportunities?
Internship availability depends on the current Creatix program and its terms.
Do you provide placement assistance?
Placement assistance is available if included in the enrolled program. Ask a counsellor about the current support policy.
Where is Creatix Institute located?
Creatix Institute has training locations in Mansarovar and Pratap Nagar, Jaipur.
Is there a Data Science Course near me in Raja Park, Jaipur?
Creatix Institute's Mansarovar and Pratap Nagar locations serve learners looking for data science training in Raja Park, Jaipur. Contact the institute about a suitable location.
Can I attend a free demo?
Enquire about booking a free demo class before enrolling.
What is the course duration?
Contact Creatix Institute for the currently verified duration, fees and batch timings.
How can I enroll?
Submit the counselling enquiry or contact Creatix by phone or WhatsApp to discuss the course and enrollment.
Your next data chapter
Ready to start your Data Science journey?
Learn Python, SQL, statistics, machine learning, AI and data visualization through practical projects at Creatix Institute, Jaipur.
Collect → Analyze → Model → Explain
Call or WhatsApp: +91 88548 00811 · Jaipur · Mansarovar · Pratap Nagar