Learning Phases

Step-by-Step Data Science Roadmap

Phase 1: Python and Statistics

Week 1-4

Python fundamentals: data types, functions, OOP basics
NumPy for numerical computing and array operations
Pandas for data loading, cleaning, and manipulation
Descriptive statistics: mean, median, standard deviation, distributions
Inferential statistics: confidence intervals, hypothesis testing, p-values

Outcome: Perform data analysis with Python and draw statistically valid conclusions from data.

Phase 2: Data Visualization and SQL

Week 5-8

Matplotlib: line plots, bar charts, histograms, scatter plots
Seaborn: statistical visualizations, heatmaps, pair plots
Plotly for interactive dashboards and visualizations
SQL: SELECT, JOINs, GROUP BY, subqueries, window functions
Data storytelling: communicating insights to business stakeholders

Outcome: Create compelling visualizations and query databases to extract insights for decision-making.

Phase 3: Machine Learning for Data Science

Week 9-13

Supervised learning: regression, classification algorithms
Model evaluation: train/test split, cross-validation, metrics
Feature engineering and selection techniques
Unsupervised learning: clustering, dimensionality reduction
Scikit-learn pipelines for reproducible ML workflows

Outcome: Build ML models that solve business problems and evaluate them rigorously.

Phase 4: Advanced Analytics

Week 14-17

Time series analysis: decomposition, ARIMA, Prophet
Natural language processing basics: text cleaning, TF-IDF, sentiment analysis
Recommendation systems: collaborative and content-based filtering
A/B testing and experimental design for business decisions
Advanced SQL: CTEs, window functions, query optimization

Outcome: Apply advanced analytical techniques to real-world business problems.

Phase 5: Tools and Deployment

Week 18-21

Jupyter notebooks for reproducible analysis
Git for version control of data science projects
Streamlit or Gradio for building data apps and dashboards
Cloud basics: AWS S3 for data storage, EC2 for compute
Docker basics for containerizing data science applications

Outcome: Build shareable data applications and deploy data science projects to the cloud.

Phase 6: Portfolio and Career Launch

Week 22-28

End-to-end data science project with real dataset
Kaggle participation for competitive experience
Data science portfolio on GitHub with documented projects
Resume highlighting quantified impact from projects
Mock interviews: case studies, SQL, Python, and ML theory

Outcome: Be job-ready as a Data Scientist with a portfolio of projects that demonstrate business impact.

Training at CodingClave

CodingClave Covers This Entire Roadmap

You do not need to follow this roadmap alone. CodingClave Training Hub in Lucknow offers structured Data Science training that covers every phase with live mentorship, doubt resolution, and real project-based learning.

28-Day Program

Phases 1-3

Foundations + first project. Ideal for summer training

45-Day Program

Phases 1-4

Deeper coverage + two projects. Great for industrial training

6-Month Program

All 6 Phases

Complete roadmap + job assistance. Best for internship program

All programs include live classes, hands-on projects, and a training certificate valid for AKTU/university submissions. The 6-month program includes mock interviews, resume building, and 100% job assistance with 50% fee after placement.

Frequently Asked Questions

Data Science Roadmap — Common Questions

How long does it take to become a data scientist?+

5-7 months of structured learning. CodingClave in Lucknow offers a 6-month Data Science program covering this entire roadmap. Shorter programs (28/45 days) cover data analysis and ML foundations.

Do I need to know programming to become a data scientist?+

You need Python and SQL. No prior programming experience is required — our roadmap starts from Python basics. At CodingClave in Lucknow, we teach programming from scratch.

Is data science still a good career in 2026?+

Yes. Companies across every industry need data scientists. The role has matured from hype to established career with clear growth paths. India's data science market grows 25-30% annually.

What is the difference between data science and data analytics?+

Data science includes predictive modeling and ML. Data analytics focuses on descriptive analysis and dashboards. Data science requires more programming and math; analytics requires more business acumen and visualization skills.

Does CodingClave cover this entire data science roadmap?+

Yes. The 6-month Data Science program at CodingClave in Lucknow covers all 6 phases. The 28-day program covers Phases 1-2, and the 45-day covers Phases 1-3.

Should I learn Python or R for data science?+

Python. It dominates the data science industry in India and globally. R is used in academic statistics but Python's versatility (web, ML, automation) makes it the better career investment.

What projects should I build in data science?+

Start with exploratory data analysis on a public dataset, then a predictive ML model, then a complete data product with dashboard and deployment. Business-relevant projects impress interviewers more than toy examples.

Can I become a data scientist without a math degree?+

Yes. You need working-level statistics and some linear algebra, not a math degree. Our roadmap covers required math. B.Tech, BCA, and even non-technical graduates have become successful data scientists.

What salary can I expect as a fresher data scientist?+

₹4-9 LPA depending on education, projects, and company. In Lucknow, ₹4-7 LPA. Remote roles pay ₹7-16 LPA. Data science is one of the top-paying entry-level career paths.

Can I get a data science job in Lucknow?+

Analytics and data companies in Lucknow and nearby Noida hire data scientists. Remote data science roles are abundant and accessible from Lucknow. CodingClave provides placement support.

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6 phases | Job-ready in 4-6 months with consistent daily practice

MERN Stack Learning Roadmap 2026

6 phases | Job-ready in 5-6 months with consistent daily practice

MEAN Stack Learning Roadmap 2026

6 phases | Job-ready in 5-7 months with consistent daily practice

Start Learning

Ready to Follow This Data Science Roadmap?

Join CodingClave Training Hub in Lucknow for guided, practical-based Data Science training. We cover this entire roadmap with live mentorship and real projects.

Apply Now WhatsApp Us View Data Science Course

Data Science Learning Roadmap 2026 — Beginner to Job-Ready

A structured, phase-by-phase guide to becoming a Data Scientist in 2026. This roadmap covers 6 phases from absolute beginner to job-ready in 5-7 months with consistent daily practice. Follow it self-paced or join CodingClave's Data Science training in Lucknow for guided, practical-based learning.

Before You Start

Prerequisites for This Roadmap

Basic computer skills and spreadsheet familiarity
High school mathematics
Curiosity about finding patterns in data

Time to job-ready: 5-7 months with consistent daily practice

Learning Phases

Step-by-Step Data Science Roadmap

Phase 1: Python and Statistics

Week 1-4

Python fundamentals: data types, functions, OOP basics
NumPy for numerical computing and array operations
Pandas for data loading, cleaning, and manipulation
Descriptive statistics: mean, median, standard deviation, distributions
Inferential statistics: confidence intervals, hypothesis testing, p-values

Outcome: Perform data analysis with Python and draw statistically valid conclusions from data.

Phase 2: Data Visualization and SQL

Week 5-8

Matplotlib: line plots, bar charts, histograms, scatter plots
Seaborn: statistical visualizations, heatmaps, pair plots
Plotly for interactive dashboards and visualizations
SQL: SELECT, JOINs, GROUP BY, subqueries, window functions
Data storytelling: communicating insights to business stakeholders

Outcome: Create compelling visualizations and query databases to extract insights for decision-making.

Phase 3: Machine Learning for Data Science

Week 9-13

Supervised learning: regression, classification algorithms
Model evaluation: train/test split, cross-validation, metrics
Feature engineering and selection techniques
Unsupervised learning: clustering, dimensionality reduction
Scikit-learn pipelines for reproducible ML workflows

Outcome: Build ML models that solve business problems and evaluate them rigorously.

Phase 4: Advanced Analytics

Week 14-17

Time series analysis: decomposition, ARIMA, Prophet
Natural language processing basics: text cleaning, TF-IDF, sentiment analysis
Recommendation systems: collaborative and content-based filtering
A/B testing and experimental design for business decisions
Advanced SQL: CTEs, window functions, query optimization

Outcome: Apply advanced analytical techniques to real-world business problems.

Phase 5: Tools and Deployment

Week 18-21

Jupyter notebooks for reproducible analysis
Git for version control of data science projects
Streamlit or Gradio for building data apps and dashboards
Cloud basics: AWS S3 for data storage, EC2 for compute
Docker basics for containerizing data science applications

Outcome: Build shareable data applications and deploy data science projects to the cloud.

Phase 6: Portfolio and Career Launch

Week 22-28

End-to-end data science project with real dataset
Kaggle participation for competitive experience
Data science portfolio on GitHub with documented projects
Resume highlighting quantified impact from projects
Mock interviews: case studies, SQL, Python, and ML theory

Outcome: Be job-ready as a Data Scientist with a portfolio of projects that demonstrate business impact.

Training at CodingClave

CodingClave Covers This Entire Roadmap

28-Day Program

Phases 1-3

Foundations + first project. Ideal for summer training

45-Day Program

Phases 1-4

Deeper coverage + two projects. Great for industrial training

6-Month Program

All 6 Phases

Complete roadmap + job assistance. Best for internship program

Frequently Asked Questions

Data Science Roadmap — Common Questions

How long does it take to become a data scientist?+

5-7 months of structured learning. CodingClave in Lucknow offers a 6-month Data Science program covering this entire roadmap. Shorter programs (28/45 days) cover data analysis and ML foundations.

Do I need to know programming to become a data scientist?+

You need Python and SQL. No prior programming experience is required — our roadmap starts from Python basics. At CodingClave in Lucknow, we teach programming from scratch.

Is data science still a good career in 2026?+

Yes. Companies across every industry need data scientists. The role has matured from hype to established career with clear growth paths. India's data science market grows 25-30% annually.

What is the difference between data science and data analytics?+

Does CodingClave cover this entire data science roadmap?+

Yes. The 6-month Data Science program at CodingClave in Lucknow covers all 6 phases. The 28-day program covers Phases 1-2, and the 45-day covers Phases 1-3.

Should I learn Python or R for data science?+

Python. It dominates the data science industry in India and globally. R is used in academic statistics but Python's versatility (web, ML, automation) makes it the better career investment.

What projects should I build in data science?+

Can I become a data scientist without a math degree?+

What salary can I expect as a fresher data scientist?+

₹4-9 LPA depending on education, projects, and company. In Lucknow, ₹4-7 LPA. Remote roles pay ₹7-16 LPA. Data science is one of the top-paying entry-level career paths.

Can I get a data science job in Lucknow?+

Analytics and data companies in Lucknow and nearby Noida hire data scientists. Remote data science roles are abundant and accessible from Lucknow. CodingClave provides placement support.

More Roadmaps

Explore Other Learning Roadmaps

PHP with Laravel Learning Roadmap 2026

6 phases | Job-ready in 4-6 months with consistent daily practice

Python with Django Learning Roadmap 2026

6 phases | Job-ready in 4-6 months with consistent daily practice

MERN Stack Learning Roadmap 2026

6 phases | Job-ready in 5-6 months with consistent daily practice

MEAN Stack Learning Roadmap 2026

6 phases | Job-ready in 5-7 months with consistent daily practice

Start Learning

Ready to Follow This Data Science Roadmap?

Join CodingClave Training Hub in Lucknow for guided, practical-based Data Science training. We cover this entire roadmap with live mentorship and real projects.

Apply Now WhatsApp Us View Data Science Course