100% Job Assistance!
Full Stack Data Analytics Career Path
Become a fully fledged data analyst with our Full Stack Data Analytics Bootcamp that takes you from beginner to job-ready in just 4 months through industry-oriented learning.
Get Started with Your Learning Journey
Fill out the form, and our team will connect with you to assist you in starting your learning journey.
You Are Here Because…
You're ready for a change
You want a career that challenges and excites you—one that finally feels right.
You want job security and growth
A well-paying, in-demand career in data analytics is the opportunity you’ve been looking for.
You need future-proof skills
The world is evolving fast, and you want to stay relevant with skills that last.
You value expert guidance
Learning from professionals who’ve been there gives you the confidence to move forward.
Your Career Path To Full Stack Data Analyst
1
Master the Foundations of Data Analytics
Gain expertise in the most in-demand skills like SQL, Python, and data visualization with our industry-aligned core curriculum.
2
Master the Foundations of Data Analytics
Gain expertise in the most in-demand skills like SQL, Python, and data visualization with our industry-aligned core curriculum.
3
Build Proof of Work
Work on 15+ industry projects and case studies to develop a portfolio that demonstrates your expertise. Showcase real-world solutions to stand out to recruiters and hiring managers.
4
Get Placement-Ready Credentials
Achieve placement eligibility by maintaining 80% attendance, mastering 80% of the core curriculum, and excelling in soft skills evaluations.
5
Perfect Your Interview Skills
Polish your resume, practice mock interviews, and receive 1:1 feedback to ensure you’re prepared to impress recruiters.
6
Unlock Multiple Career Pathways
Access job opportunities through:
SkillCamper’s hiring partners
NSDC-backed placements
Leading platforms like LinkedIn and Naukri
SkillCamper’s hiring partners
NSDC-backed placements
Leading platforms like LinkedIn and Naukri
7
Get
100% Job Assistance!
Gain expertise in the most in-demand skills like SQL, Python, and data visualization with our industry-aligned core curriculum.
What You'll Learn
Core Data Analytics Algorithms and tools
- Predictive modeling for categorical outcomes.
- Ensemble Machine Learning Techniques.
- Statistical modeling.
- Advanced Machine Learning.
- Time Series Forecasting.
- Data Visualization and Storytelling
Communication, Presentation & Business Skills
- Clarity in presenting findings, insights, and recommendations through reports or presentations.
- Ability to convey complex technical concepts to non-technical stakeholders.
- Proficiency in data visualization techniques to communicate information effectively.
- Precision in documenting processes, methodologies, and findings.
- Vigilance in spotting errors or discrepancies within datasets.
Problem Solving and Design Thinking
- Ability to break down complex problems into manageable components.
- Ability to approach problems objectively and evaluate evidence logically.
- Capacity to assess data quality, identify biases, and challenge assumptions.
- Skill in formulating hypotheses and designing experiments to test them.
Core Data Analyst Skills
- Proficiency in interpreting data and drawing meaningful insights.
- Capacity to identify trends, patterns, and outliers within datasets.
- Understanding of statistical methods and probability theory.
- Capability to perform calculations, statistical analysis, and modeling.
- Thoroughness in examining data for accuracy, completeness, and consistency.
Curriculum Designed For Career Success
Module 1: Python and SQL for Data Science
Discover the power of Python for analyzing data and SQL for managing databases. Get ready to start your data analysis journey with Python's versatile tools and SQL's database querying capabilities.
What will you achieve?
- Build a strong foundation in Python and SQL for data science.
- Manage, analyze, and query data effectively.
Topics
- Python Basics: Understanding Python syntax and data types.
- Object-Oriented Programming (OOPs): Implementing classes and objects.
- Control Structures and Functions: Using conditional statements and functions.
- Data Structures: Manipulating lists, tuples, dictionaries, and sets.
- Python Libraries for Data Science: Utilizing Numpy, Pandas, Matplotlib, and Seaborn for data analysis.
- SQL: Database design, creation, and querying using MySQL Workbench.
Module 2: Exploratory Data Analysis and Shell Scripting
Uncover hidden insights in data and automate tasks with ease. Learn how to explore and clean data effectively while automating tasks using shell scripting. Gain practical skills to kickstart your data analysis projects.
What will you achieve?
- Exploratory Data Analysis (EDA): Data sourcing, cleaning, and conducting univariate, bivariate, and multivariate analysis.
- Unix and Shell Scripting: Writing basic shell scripts for automation.
- Basic Excel: Data manipulation and analysis using Microsoft Excel.
Topics
- Master data exploration and cleaning techniques.
- Automate workflows with shell scripting.
Module 3: Statistics and Hypothesis Testing
Understand the stories behind the numbers and make informed decisions. Learn essential statistical concepts and hypothesis testing techniques to draw meaningful conclusions from data. Get ready to interpret data with confidence.
What will you achieve?
- Build confidence in interpreting data using statistical methods.
- Master hypothesis testing for decision-making.
Topics
- Descriptive and Inferential Statistics: Understanding data distributions and making inferences.
- Probability: Probability theory and applications.
- Distributions: Discrete and continuous probability distributions.
- Central Limit Theorem: Understanding the behavior of sample means.
- Linear Algebra and Calculus: Basics for machine learning applications.
- Hypothesis Testing: A/B testing, Chi-squared test, ANOVA.
Module 4: ML for Data Analysis & Data Storytelling
Harness the power of machine learning to uncover patterns and tell compelling stories with data. Dive into predictive modeling, time series analysis, and visualization techniques to create impactful data-driven narratives.
What will you achieve?
- Develop skills in machine learning and predictive analytics.
- Communicate insights through compelling data visualizations.
Topics
- Machine Learning: Supervised and unsupervised learning.
- Linear Regression: Predictive modeling for continuous variables.
- Logistic Regression: Predicting categorical outcomes.
- Clustering: Unsupervised learning for grouping similar data points.
- Advanced Machine Learning: Decision trees, ensembles, random forests.
- Time Series Forecasting: Techniques for analyzing and forecasting time-based data.
- Data Visualization and Storytelling: Using tools like Tableau, PowerBI, and Excel to create impactful presentations.
- Structured Problem Solving and Frameworks: Business methodologies like 5Ws, Issue Tree Frameworks, and Operations Research with Pyomo.
Module 5: Business Fundamentals (Optional)
Enhance your professional toolkit with essential business communication and soft skills. Learn how to effectively collaborate and communicate in a professional setting.
What will you achieve?
- Improve communication and interpersonal skills for business environments.
- Build professional confidence for career success.
Topics
- Business Communication: Mastering communication in a business context.
- Soft Skills: Interpersonal skills critical for professional growth.
Learn Essential Skills & Tools
Data Analytics is the Career of the Future
IN-DEMAND CAREER
40%
Increase in demand for advanced roles by 2030
MASSIVE JOB OPENINGS
1M +
Job openings and counting for Data Analysts worldwide.
SKYROCKETING GROWTH
25%
Annual growth rate of the data analytics industry
BIGGEST GROWING INDUSTRY
$550 Billion
Amount industry is set to grow, by 2028
Industry Specialization -
Why You Need It & How We Deliver
Why Industry Knowledge Matters
In data analytics, domain-specific knowledge is essential. Understanding the unique challenges and opportunities within an industry enhances your skills and appeal to employers. Here's why mastering industry knowledge is crucial:
Relevance:
Applying data analytics within a specific context, such as healthcare, finance, or marketing, demonstrates your ability to address real-world problems.
Competitive Edge:
Specialized knowledge sets you apart from other data professionals who may only possess general analytical skills.
Career Advancement:
Mastery of industry-specific analytics can lead to higher-level roles within specialized fields, enhancing your career growth and potential earning power.
How We Provide Industry Specialization
At SkillCamper, we don’t just teach data analytics; we ensure you can apply it effectively in the real world. Here’s how we help you specialize:
Tailored Curriculum Options:
Choose from a variety of industry tracks such as Financial Analytics, Banking Analytics, Ecommerce Analytics, and more.
Expert Instruction:
Learn from instructors who are not just educators, but also seasoned professionals from the very industries you're interested in.
Real-World Projects:
Tackle actual industry problems through case studies designed by practitioners at top leading companies like Microsoft, Citibank and many more, giving you hands-on experience.
Advanced Fraud Detection Techniques in Banking
Learn the skills and knowledge to detect fraudulent activities in credit card transactions, ensuring financial security and reducing losses from fraud.
Skills learned:
Data Preprocessing
Feature Engineering
Model Evaluation
Anomaly Detection Techniques
Customer Segmentation Strategies
Learn how to segment customers based on their behavior and demographics to optimize marketing campaigns for targeted engagement and retention.
Skills learned:
Data Visualization
Clustering Algorithms
Customer Profiling techniques
Operational Efficiency Optimization
Develop tools and techniques to forecast call volumes in customer service centers, improving resource allocation and enhancing service efficiency.
Skills learned:
Time Series Analysis
Model Evaluation
Operational Optimization Techniques
Sales Prediction and Optimization
Learn how to predict sales performance and optimize strategies for products and services to drive revenue growth and customer acquisition.
Skills learned:
Predictive Modeling
Sales forecasting
Model Interpretation Techniques
Real-Time Fraud Detection
Equip yourself with the skills to detect fraudulent activities in real-time transactions, safeguarding organizations from financial losses.
Skills learned:
Data Preprocessing
Pattern Recognition
Anomaly Detection Techniques
Predictive Modeling for Risk Assessment
Predict default probabilities to assess risk and make informed decisions, helping organizations manage portfolios more effectively.
Skills learned:
Feature Engineering
Risk Assessment
Model Evaluation Techniques
Predictive Analytics for Customer Lifetime Value Estimation
Learn how to estimate the lifetime value of customers, enabling personalized marketing strategies and enhancing customer experiences.
Skills learned:
Customer Segmentation
Predictive Modeling
Customer Lifetime value calculation techniques
Personalized Cross-Selling Recommendations
Gain the skills to build recommendation systems for cross-selling products and services based on customer behavior and preferences.
Skills learned:
Collaborative Filtering
Recommendation Algorithms
Customer Profiling techniques
Machine Learning for Risk Assessment
Learn the tools to assess risks in decision-making processes, enabling better strategies and management for large-scale operations.
Skills learned:
Feature Selection
Risk Modeling
Credit Scoring Techniques
An Intelligent Learning Platform That Feels Like A Personal Mentor
Completing Python Libraries for Data Science will give you practical skills to work with Python for data manipulation and analysis. Here’s what you’ll be able to do:
Learn by Doing with Interactive Lessons
Watch real-time screencasts and code along in an interactive environment.
AI-Powered Feedback to Sharpen Your Skills
Get instant feedback on your code, understand mistakes, and improve faster.
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Hands-On Practice in Skill Lab
Apply what you learn through exercises in our integrated coding environment.
Track Your Growth with Built-in Analytics
Monitor progress, identify strengths, and stay on top of your learning journey.
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Assess Your Skills & Get Scores
Take assessments, measure your performance, and see where you stand.
Unlock Career Opportunities with Job Board Access
Connect with job listings and take the next step toward your data analytics career.
Meet Your Instructors
Our Career Path instructors are experts with real-world experience. They've been in your shoes. They make learning fun and easy. They will motivate and support you every step of the way.
Is This Program Right For You?
You'll fit right in if
Career Advancement:
Mastery of industry-specific analytics can lead to higher-level roles within specialized fields, enhancing your career growth and potential earning power.
You value a supportive community.
You want to learn alongside a network of peers and experts who are as invested in your success as you are.
You're committed to making a career change.
You're done with feeling stuck in your current job and are prepared to invest time and effort to change your career trajectory.
You seek quality education at a fair cost.
You believe in getting quality education without spending tens of thousands, ready for a significant career leap.
You love solving puzzles and facing challenges.
You thrive on tackling complex problems and enjoy the process of finding innovative solutions.
You appreciate personalized learning.
You prefer an educational environment where your unique needs are met, and you aren’t just another face in the crowd.
We're not for you if
You’re only interested in theory.
If you’re interested primarily in theoretical knowledge without applying it to real-world projects, this might not be the fit.
You're looking for a quick fix.
If you’re not ready to dedicate time to fully engage in the learning process, this program won't meet your expectations.
You want a casual learning experience.
We’re focused on delivering skills that employers demand, not just casual learning that doesn’t lead to job readiness.
You're undecided about a career in data analytics.
If you’re still exploring whether data analytics is right for you, you might want to start with some introductory resources first.
You’re not ready to invest in yourself.
Our program requires a commitment to personal and professional growth.
You don't enjoy working with numbers and data.
Our curriculum centers around data analysis, which is integral to every aspect of our training.
Land Your Dream Job With
100% Job Assistance!
Craft a Winning Resume
Get expert help building a resume that showcases your data skills.
Company Screening & Selection
Get expert help building a resume that showcases your data skills.
Nail Your Interview
Get expert help building a resume that showcases your data skills.
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How is SkillCamper Different from Other Online Courses?
Live Training
Small Cohort Size
True Project-Based Learning
Personalized Mentorship
1:1 Doubt Solving
Job-Ready Portfolio
Blended Learning for Working Professionals
Made Solely for Working Professionals
Career Transition Assistance
Affordable
15+ Industry Case Studies
No time commitment
Video Courses
SkillCamper
Bootcamps
Learner Reviews
Our courses and community have helped learners just like you kickstart & progress rapidly in their careers.
Sanjay Shah
Civil Engineer
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“The projects and the friendly community make learning fun and helpful. “
Ashish Lodhe
Application Support Engineer (Now Analyst at Accenture)
“This platform doesn’t just teach tools—it focuses on real-world application and domain knowledge, which makes a huge difference.”
Suman M
Maxlife Insurance (Axis Bank Branch Banking)
“Everything is explained in a way that makes sense, even for beginners. The lessons are clear, and I never felt lost at any point.”
Ravi Prakash
Automation Test Analyst
“The way topics are broken down makes them so much easier to understand.”
Ayush Sharma
Relationship Manager at City Union Bank
“Every time I had questions, they were addressed, and the sessions have been really good.”
Invest In Yourself
Choose the Plan That Fits Your Goals!
Recorded Content
Full Session Recordings
Study Materials
Projects/Assignments
Assignments
Capstone Project
Portfolio Development
Personalized Support
Small Cohort Size (10 Learners)
Community/Support
WhatsApp Support
Peer Learning Groups
Industry Specialization
Domain-Specific Modules
Tailored Projects for Specialization
Industry-Grade Case Studies
Industry Specialization
Resume Templates
Resume Building
Mock Interviews
Placement Support
LinkedIn Optimization
Job Search Support
Job Board Access
Career Guidance Until Placement
Eligibility for Interview
Completion of Core Modules
Skill Readiness Assessment (80% Attendance)
Live Sessions
Mentor-Led Sessions
Industry Expert Guest Sessions
Doubt-Clearing Sessions
Get Certified
Showcase Your Skills with Confidence
Frequently Asked Questions
What technologies will I learn in the Data Analytics Bootcamp?
You’ll gain hands-on experience with industry-standard tools like Python, SQL, Power BI, and machine learning techniques. You’ll also work on data visualisation, data manipulation, and predictive analytics, all through real-world case studies tailored to the banking and finance sector.
Can I join this bootcamp without any prior experience in data analytics?
Absolutely! This bootcamp is designed for beginners as well as professionals looking to upskill. We start from the basics, making sure you build a solid foundation, so no prior experience is required.
How long is the Data Analytics Bootcamp, and is it flexible?
The boot camp lasts for 4 months and is designed to fit around your schedule. With an estimated time commitment of 15–20 hours per week, you can learn at your own pace, which makes it ideal for working professionals.
How is the curriculum organised, and what will I learn?
The curriculum is divided into several modules, including Python and SQL for Data Science, Exploratory Data Analysis, Statistics and Hypothesis Testing, and Machine Learning for Data Analysis. You’ll also complete industry-specific case studies and projects to ensure you apply what you learn to real-world problems.
Will I have access to the course materials after the bootcamp ends?
Yes, you’ll retain access to all course materials, including recorded sessions and project files, even after completing the bootcamp. This allows you to revisit the content and continue practising at your own pace.
What kind of career support will I receive during and after the bootcamp?
We provide comprehensive career support, including 1:1 mentorship, mock interviews with industry experts, resume-building workshops, and access to our network of hiring partners to help you secure job opportunities.
What key features set this bootcamp apart?
Our bootcamp includes hands-on projects, industry-tested problem-solving frameworks, 1:1 mentorship, and AI-powered learning tools to track your progress. We also offer flexible learning options, a 7-day money-back guarantee, and easy EMI payment plans to suit your needs.
What is the cost of the bootcamp, and are payment options available?
The bootcamp costs ₹75,000, and we offer flexible EMI options to make it accessible. You can explore the program risk-free with our 7-day money-back guarantee, allowing you to evaluate if it's the right fit for you.
What industries do the case studies cover?
Our bootcamp focuses on the banking and finance industry, with case studies in fraud detection, customer segmentation, loan default prediction, and sales optimization. These real-world examples will prepare you to apply your skills in industry-specific contexts.
How will this bootcamp help me land a job in data analytics?
By the end of the bootcamp, you’ll have built a strong portfolio of projects and gained industry-relevant skills. We offer mock interviews, resume-building workshops, and personalised support to help you stand out in job applications and interviews, with direct access to our network of companies hiring data analysts.
Don't Just Learn. Specialize.
India's only course with industry specialization in the domain of your choice.
50+
Industry case studies
10+
Problem solving frameworks
Experience 360° deep specialized learning
50+
Assignments
10+
Industry Projects
100+
Hours of Learning
Learn with Ai
Our program incorporates modern Gen AI based workflows for data science so that you are equipped with the tools of the future.
Made for working professionals
Enjoy flexible learning options. Go at your own pace or learn through live classes with industry experts.
Placement support from dedicated counselors
Mock interviews with senior industry leaders
Craft the perfect resume
Access our network of partner companies
Explore Career Paths
Ready to become a Data Scientist that industry loves to hire? Apply Now.
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