Learn Data Analytics From Scratch and Land Your Dream Job
- Specialization In Banking And Finance
- 4 Months, No Prior Experience
- 100% Placement Assistance
- Upto 15 LPA
Specialization In Banking And Finance
4 Months, No Prior Experience
100% Placement Assistance
Upto 15 LPA
Companies where our learners are making a difference
Who Is This Course For?
- Data Analytics Beginners
- College Graduates
- Early jobbers who want to upskill
- Professionals looking to make a career change
If your end goal is to have a successful career as a data analyst in banking and finance then this course is for you.
4 Months Program
1:1 Direct Support From Mentors
1 Capstone Project
100% Placement Assistance
4 Months Program
1:1 Direct Support From Mentors
1 Capstone Project
100% Placement Assistance
Land Your Dream Job with Complete Placement Support
- Craft a Winning Resume : Get expert help building a resume that showcases your data skills.
- Nail Your Interview : Practice mock interviews with our experienced mentors to ace the recruitment process.
- Company Screening & Selection : Benefit from our extensive industry network and connections to unlock exciting career opportunities.
- Become a LinkedIn Pro : Learn to leverage LinkedIn to build your brand and network with top companies.
What You’ll Learn
What You’ll Learn
- What it takes to be a Data Analytics professional in Banking & Finance
- How to solve actual business problems using data analytics
- Tools & techniques for data analysis
- How to crack job interviews at top banks & financial institutions
Case Studies For Hands-On Learning
- Fraud Detection
- Credit Risk Analysis
- Customer Segmentation
- Loan Default Prediction
Course Breakdown
- Python Basics: OOPs, Control Structures, Functions, Data Structures (List, Tuple, Dictionary, Set)
- Python Libraries for Data Science: Numpy, Pandas, Matplotlib, Seaborn
- SQL Essentials: Database Design and Creation, MySQL Workbench, Advanced Querying (Joins, Sets, etc.)
- Exploratory Data Analysis: Data sourcing, Data cleaning, Univariate, Bivariate, and Multivariate analysis
- Shell Scripting: Unix and Basic Excel skills
- Statistics Foundations : Descriptive/Inferential Statistics, Probability, Distributions, Central Limit Theorem
- Hypothesis Testing : A/B Testing, Chi-squared Test, ANOVA
- Machine Learning : Supervised/Unsupervised Learning, Linear/Logistic Regression, Clustering
- Advanced ML Techniques : Decision Trees, Ensembles, Random Forests, Time Series Forecasting
- Data Storytelling : Visualisation with Tableau/PowerBI, Advanced Excel, Structured Problem Solving, Operations Research (Pyomo)
- Business fundamentals, and the necessary communication and soft skills needed to succeed in the industry.
The Skills You’ll Acquire
- Excel
- SQL
- Python
- Data Analysis
- Data Manipulation
- Descriptive Statistics
- Inferential Statistics
- Data Modeling
- Data Mining
- Data Visualization
- Business Sense
Program Overview
300+
Learning Hours
4 Months
Duration
8-10 Hours
Weekly Commitment
1:1
Exclusive Mock Interviews
No
Pre-requisite Required
Live Classes
Lifetime Access To Recordings
10+
Real World Projects
12+
Tools
Hear From Happy Students
“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.”
Fatema Rampurawala
Graduate in B.SC-IT
“I decided to shift my career from Public Relations to the field of Data Science, on joining SkillCamper Data Science Bootcamp my confidence has increased as I got 1-1 attention that helped me cope up with the new field. Many of my doubts are resolved in the doubt solving class with great teachers.”
Pragati Jha
Public Relations professional
“Based on what I have learnt in the Data Science bootcamp and the soft skills training, I feel 85-90% confident about sitting in an interview. I am a final year student and I wish to apply the skills I learn here at the job. Since SkillCamper also offers placement support it was a great option.”
Supriya K
Final year student
Meet Your Mentors
Atul Tripathi
20+ years of experience AI, Big Data, Data Science & Analytics, Ex- Prime Minister's Office
Saksham Agarwal
15+ years of experience Saas, Fintech, Data Science, 1x Entrepreneur, Ex-Delloite, IIM-A
Nisseem Nabar
13+ years of experience, Data Science - Banking & Fintech, Ex-Citibank, IIM A, IISc
Taha Bichoo
13+ years of experience, Data Analytics - Cards & Loans, AVP-Citibank, Ex-Genpact
Why Data Analytics?
$349.6 Billion
$349.6 Billion industry by 2030
45% Growth
Fastest growing in-demand skill, 45% increase in job openings in India
Top 10
Among Top 10 jobs in-demand on LinkedIn
1 Million+ Jobs
Job openings world wide for a data analyst
$84K
One of the Highest paid jobs: $72K average Globally by Glassdoor
*8-14 Ipa
Average CTC, in India for a entry level DA
Frequently Asked Questions
We provide exclusive placement assistance, prepare you to be interview-ready, help you nail the industry expectations and get interview invites for you in top companies. We are your partners in your journey from learning to earning.
Everything will be taught through live online classes from Industry experts. You will do quizzes, assignments, projects, and more.
You will have lifetime access to all course material. Documents, presentations, materials, videos and case studies can be accessed anytime for reference, ensuring a lifetime of learning.
You will be taught by top industry experts with decades of experience in data analytics in the banking & finance industry to ensure your learning is as relevant to the sector as possible.