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Full Stack Data Analytics Bootcamp For Banking & Finance

Become a fully fledged data analyst with our bootcamp that takes you from beginner to job-ready in just 4 months.
Design Thinking
Domain Mastery
Real world case studies
upcoming cohorts
June 20 - Oct 20, 2024
upcoming cohorts
July 20 - Nov 20,2024
Tech you will Learn
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Program Overview

SkillCamper’s Data Analytics Bootcamp is a 4 month program designed to equip students with fundamental data analytics skills, including data manipulation, visualization, and analysis using industry-standard tools like Python, R, and SQL. The course emphasizes a learn-by-doing approach through real-world projects and case studies. These are tailored to specific industries so that students can effectively apply what skills they’ve learnt to their chosen fields.

Make A Life-Changing Career Choice
BIGGEST GROWING INDUSTRY
$349.6 Billion
Amount industry is set to grow by 2030
IN-DEMAND CAREER
45%
Growth in demand for Data Analysts in the next 5 years
MASSIVE JOB OPENINGS
1M+
Job openings and counting for Data Analysts worldwide.
HIGH ENTRY-LEVEL SALARY
₹8-14 LPA+
Current average CTC for entry-level Data Analysts in India.
HIGHLY PAID JOBS
$74K
Current average salary for data analysts worldwide according to Glassdoor. Huge year-on-year growth.
Don't Just Learn. Specialize.
India’s only course with industry specialization in banking and fianance.
50+
Banking case studies
10+
Porblem solving frameworks
Experience 360° deep specialized learning
50+
Assignments
10+
Industry Projects
100+
Hours of Leanring
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
India’s only course with industry specialization in banking and fianance.
50+
Banking case studies
10+
Porblem solving frameworks
Experience 360° deep specialized learning
50+
Assignments
10+
Industry Projects
100+
Hours of Leanring
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
What This Program Has To Offer
Key Features
Get industry specific training
Easy EMI option
7 day, no questions asked money back policy
30 day Pause
Dedicated student support
1:1 mentorship by industry experts
Get practical training by working on actual banking use cases
Learn through industry-approved learning frameworks
Deep Understanding of Analytics
Learn Data Manipulation & cleaning using Excel, SQL and Python
Statistical analysis
Data Visualization using Tableau, Power BI, Matplotlib and Seaborn
Learn Python and R for data analysis & automation
Database Management 
Machine Learning
Specialization in Banking & Finance
Learn core banking & finance concepts 
Master the different Fintech business models & their primary drivers
Understand how to apply data analytics to diverse Fintech products
Industry-tested Problem Solving Frameworks
Learn 15+ problem solving frameworks for finance
Be confident to tackle any problem at your job
Program Eligibility 
No prior coding experience required
Students with any graduate degree welcome
Basic computer literacy
Fundamental math skills
Curiosity and eagerness to learn
What You'll Learn
Core Data Analytics Algorithms and tools
  1. Predictive modeling for categorical outcomes.
  2. Ensemble Machine Learning Techniques.
  3. Statistical modeling.
  4. Advanced Machine Learning.
  5. Time Series Forecasting.
  6. Data Visualization and Storytelling
Communication, Presentation & Business Skills
  1. Clarity in presenting findings, insights, and recommendations through reports or presentations.
  2. Ability to convey complex technical concepts to non-technical stakeholders.
  3. Proficiency in data visualization techniques to communicate information effectively.
  4. Precision in documenting processes, methodologies, and findings.
  5. Vigilance in spotting errors or discrepancies within datasets.
Problem Solving and Design Thinking
  1. Ability to break down complex problems into manageable components.
  2. Ability to approach problems objectively and evaluate evidence logically.
  3. Capacity to assess data quality, identify biases, and challenge assumptions.
  4. Skill in formulating hypotheses and designing experiments to test them.
Core Data Analyst Skills
  1. Proficiency in interpreting data and drawing meaningful insights.
  2. Capacity to identify trends, patterns, and outliers within datasets.
  3. Understanding of statistical methods and probability theory.
  4. Capability to perform calculations, statistical analysis, and modeling.
  5. Thoroughness in examining data for accuracy, completeness, and consistency.
Core Data Analyst Skills
  1. Proficiency in interpreting data and drawing meaningful insights.
  2. Capacity to identify trends, patterns, and outliers within datasets.
  3. Understanding of statistical methods and probability theory.
  4. Capability to perform calculations, statistical analysis, and modeling.
  5. Thoroughness in examining data for accuracy, completeness, and consistency.
Curriculum Designed For
Banking & Finance
Module 1: Python and SQL for Data Science
6 Lectures

Discover the power of Python for analyzing data and SQL for managing databases. Get ready to start your own data analysis journey with Python's versatile tools and SQL's database querying capabilities.

  • 1.1 Python Basics:
    • Understanding Python syntax and data types.
  • 1.2 Object-Oriented Programming (OOPs):
    • Implementing classes and objects.
  • 1.3 Control Structures and Functions:
    • Using conditional statements and functions.
  • 1.4 Data Structures:
    • Manipulating lists, tuples, dictionaries, and sets.
  • 1.5 Python Libraries for Data Science:
    • Utilizing Numpy, Pandas, Matplotlib, and Seaborn for data analysis.
  • 1.6 SQL:
    • Database design, creation, and querying using MySQL Workbench.
Module 2: Exploratory Data Analysis and Shell Scripting
3 Lectures

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.

  • 2.1 Exploratory Data Analysis (EDA):
    • Data sourcing, cleaning, univariate, bivariate, and multivariate analysis.
  • 2.2 Unix and Shell Scripting:
    • Basic shell scripting for automating tasks.
  • 2.3 Basic Excel:
    • Data manipulation and analysis using Microsoft Excel.
Module 3: Statistics and Hypothesis Testing
6 Lectures

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.

  • 3.1 Descriptive and Inferential Statistics:
    • Understanding data distributions and making inferences.
  • 3.2 Probability:
    • Probability theory and its applications.
  • 3.3 Distributions:
    • Discrete and continuous probability distributions.
  • 3.4 Central Limit Theorem:
    • Understanding the behavior of sample means.
  • 3.5 Linear Algebra and Calculus:
    • Basic concepts for machine learning.
  • 3.6 Hypothesis Testing:
    • A/B testing, Chi-squared test, ANOVA.
Module 4: ML for Data Analysis & Data Storytelling
8 Lectures

Harness the power of machine learning to uncover patterns and tell compelling stories with data. Dive into predictive modeling, time series analysis, and data visualization techniques. Equip yourself to create impactful data-driven narratives.

  • 4.1 Machine Learning:
    • Supervised and unsupervised learning.
  • 4.2 Linear Regression:
    • Predictive modeling for continuous variables.
  • 4.3 Logistic Regression:
    • Predicting categorical outcomes.
  • 4.4 Clustering:
    • Unsupervised learning for grouping similar data points.
  • 4.5 Advanced Machine Learning:
    • Tree models, decision trees, ensembles, random forests.
  • 4.6 Time Series Forecasting:
    • Techniques for analyzing and forecasting time series data.
  • 4.7 Data Visualization and Storytelling:
    • Communicating insights using Tableau or PowerBI, Excel, and structured problem-solving frameworks.
  • 4.8 Structured Problem Solving and Frameworks:
    • Business problem-solving methodologies like 5Ws, 5 Whys, Business Model Canvas, Issue Tree Frameworks, and Operations Research using Pyomo.
Module 5: Business Fundamentals (Optional)
2 Lectures

Enhance your professional toolkit with essential business communication and soft skills. Learn how to communicate effectively and collaborate with others in a business setting. Get ready to excel in your professional journey.

  • 5.1 Business Communication:
    • Effective communication in a business context.
  • 5.2 Soft Skills:
    • Interpersonal skills crucial for professional success.
Industry Case Studies
You'll Work On
Advanced Fraud Detection Techniques in Banking
Learn the skills and knowledge to detect fraudulent activities in credit card transactions, ensuring financial security for banking institutions and customers.
Skills Learned:
Data Preprocessing
Feature Engineering
Model Evaluation
Anomaly Detection Techniques
Operational Efficiency Optimization in Banking
Develop the tools and techniques to forecast call volumes in banking call centers, improving resource allocation and enhancing customer service efficiency.
Skills Learned:
Time Series Forecasting
Model Evaluation
Operational Optimization Techniques
Customer Segmentation Strategies for Banking Marketing
Learn how to segment bank customers based on their behavior and demographics to optimize marketing campaigns for targeted customer engagement and retention.
Skills Learned:
Data Visualization
Clustering Algorithms
Customer Profiling techniques
Sales Prediction and Optimization in Banking
Learn how to predict sales performance and optimize sales strategies for banking products and services that drive revenue growth and customer acquisition.
Skills Learned:
Predictive Modeling
Sales forecasting
Model Interpretation Techniques
Real-time ATM Fraud Detection in Banking
Equip yourself with the skills to detect fraudulent activities in ATM transactions, safeguarding banking institutions and customers from financial losses.
Skills Learned:
Data Preprocessing
Model Evaluation
Anomaly Detection Techniques
Predictive Modeling for Loan Default Prediction in Banking
Predict loan default probabilities that enable banks to assess credit risk and make informed lending decisions.
Skills Learned:
Feature engineering
Risk Assessment
Model Evaluation Techniques
Predictive Analytics for Customer Lifetime Value Estimation
Learn how to estimate the lifetime value of bank customers, facilitating targeted marketing strategies and personalized customer experiences.
Skills Learned:
Customer Segmentation
Predictive modeling
Model Evaluation
Personalized Cross-Selling Recommendations in Banking
Gain the skills to build recommendation systems for cross-selling banking products and services based on customer behavior and preferences.
Skills Learned:
Collaborative Filtering
Recommendation Algorithms
Customer Profiling Techniques
Machine Learning for Mortgage Risk Assessment in Banking
Learn the tools to assess mortgage loan risks, enabling banks to make informed lending decisions and manage credit risk effectively.
Skills Learned:
Feature Selection
Risk Modeling
Credit Scoring Techniques
“The team was thrilled with the quality of instruction provided. We have requests from teams from other departments to undertake the training as well.”
Avinash Purohit
DGM, Canara Bank
Is This Bootcamp Right For You?
Are you looking for a career change?
Do you want to switch from your current job to a more lucrative career as a data analyst in finance ?
Do you want a promotion?
Are you a banking or finance professional looking to upgrade your career with the most sought after skill in today’s market - data analytics?
Are you a beginner to data analytics?
Are you a recent graduate looking for a comprehensive program to teach you everything you need to know to launch your career as a data analyst in the financial sector?

If you answered "Yes" to any of these questions, SkillCamper's Data Analyst Bootcamp is the perfect fit for you!

Try a free Masterclass
Alumni Success Stories

From career switchers to college grads, we have helped a diverse range of learners kickstart & progress rapidly in their data science careers. 

“I decided to shift my career to Data Science.”

After joining SkillCamper’s Data Science Bootcamp my confidence has increased because of the 1:1 attention I got from mentors that helped me cope with the new field. My doubts were resolved easily and the instructors are great!
Fatema Rampurawala
Graduate in BSC-IT

 “I have received a lot of help from the cohort.”

Everybody is collaborative and we help each other in getting clearer understanding when we are stuck. SkillCamper fosters a supportive environment where every question is valued, ensuring that no one feels left behind.
Pragati Jha
Public Relations Professional

“I feel 85-90% confident about sitting in an interview.”

SkillCamper’s soft skills training and placement support has been a huge help. The Data Science Bootcamp was a great learning experience and I’m eager to start applying these skills at my job. 
Supriya K
Final Year Student
SkillCamper Is Made For Working Professionals.

You don’t need to quit your job to learn in-demand skills and upgrade your career. Go at your own pace and get 1:1 support from mentors, program advisors and career experts all dedicated to helping you succeed.

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Live Interaction

Self paced

Course Fees

₹ 75,000

₹ 50,000

Curriculum & Course Materials

Live coding environment

AI-based learning platform

100+ hours of instruction

20+ assignments

10+ banking & finance case studies

Banking & finance domain focused curriculum

Capstone projects

Live Classes

Limited

Flexible study options

Cancel anytime in first 7 days, full refund

Mentors

15+ hours of sessions with industry veterans & experts

Personalized mentorship by course instructors

Unlimited 1:1 doubt solving sessions

Career Support

Personalized placement assistance

1:1 mock interviews with industry experts

Soft-skills training module

Essential digital tools for digital workplace module

Interview preparation module

Masterclass on resume building & LinkedIn

Access to curated companies & jobs

Frequently Asked Questions
What technologies will I learn in the Data Science bootcamps?
A1: You will learn Python, R, SQL, Power BI, Tableau, Excel, Pandas, Numpy, Matplotlib, Seaborn, and PySpark.
Can I start with no prior experience in Data Science?
Yes, our programs are designed for both beginners and those looking to deepen their knowledge. We offer fundamental courses as well as advanced bootcamps.
What is the duration of your Data Science bootcamps?
Our bootcamps are designed to be completed in 4 months with a focus on real-world applications in the banking and finance sectors.
How is the curriculum for the Data Science bootcamp structured?
The curriculum includes hands-on projects, case studies focused on the banking and finance industry, and courses on core data analysis tools and techniques.
Will I have access to the course materials after the bootcamp is over?
Yes, you will have lifetime access to all course materials, which you can refer to at any time to refresh your knowledge or tackle new challenges.
 What type of job support do you provide after completing the course?
We offer comprehensive placement assistance, including resume building, mock interviews, and leveraging our network of industry partners.
How do you prepare students for the job market?
We equip students with industry-relevant skills, help craft winning resumes, and provide mock interview practice with experienced mentors.
Do you guarantee a job after completing the course?
While we do not guarantee a job, we provide extensive support to help you become highly competitive in the job market.
 Can you help me find a job in any specific industry?
Our job assistance is generalized; we prepare you for a variety of roles in the data science field rather than focusing on specific industries.
What is the cost of the Data Science bootcamp?
The cost varies depending on the program. Our full bootcamp is priced between ₹50,000 and ₹75,000, depending on whether you choose self-paced or live instruction.
 Are scholarships available for the courses?
Yes, we offer scholarships that can cover up to 70% of the tuition fees, making our courses more accessible to a wider range of students.
What is included in the course fee?
The fee includes access to all course materials, live coding sessions, AI-based learning platform, case studies, capstone projects, and mentorship from industry experts.
What payment options are available for the course fees?
We offer flexible payment options, including easy EMIs, and you can cancel anytime in the first 7 days for a full refund.
Is financial aid or other support available aside from scholarships?
While our primary financial support is through scholarships, our enrollment advisors can also assist you with payment plans and financing options to help manage the cost of your education.
SkillCamper Learner Support

Talk to program advisors.
We are here to help you anytime you need.