Full Stack Data Analytics Course For Banking & Finance
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, Power BI 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.
- Predictive modeling for categorical outcomes.
- Ensemble Machine Learning Techniques.
- Statistical modeling.
- Advanced Machine Learning.
- Time Series Forecasting.
- Data Visualization and Storytelling
- 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.
- 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.
- 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.
- 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.
Data Anaytics
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.
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.
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.
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.
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.
You'll Work On
If you answered "Yes" to any of these questions, SkillCamper's Data Analyst Bootcamp is the perfect fit for you!
From career switchers to college grads, we have helped a diverse range of learners kickstart & progress rapidly in their data science careers.
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.
SkillCamper
Youtube Tutorials
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Other Bootcamps & Degree Programs
Online Certification
Program
₹₹
0-₹
₹₹₹₹
₹
16 weeks course
No time limit
20-60 weeks course
3-4 weeks course
1:1 Mentorship
No learner support
1:1 support may or may not be available
No learner support
Access to industry experts
No access to any mentor
Access to industry may or may not be available
No access to industry experts
Live classes with experts
No live classes
Live classes only
No live classes
Dedicated academic counselors to ensure you complete course requirements
No accountability
Accountability through assignments and grading
Limited accountability
15-20 hours of time commitment per week - designed for working professionals
No time commitment
Full-time commitment - not made for working professionals
8-10 hours per week of time commitment - suited to working professionals
SkillCamper
Youtube Tutorials
& Courses
Other Bootcamps & Degree Programs
Online Certification
Program
$$$
0-$
$$$
$
16 weeks course
No time limit
20-60 weeks course
3-4 weeks course
1:1 Mentorship
No learner support
1:1 support may or may not be available
No learner support
Access to industry experts
No access to any mentor
Access to industry may or may not be available
No access to industry experts
Live classes with experts
No live classes
Live classes only
No live classes
Dedicated academic counselors to ensure you complete course requirements
No accountability
Accountability through assignments and grading
Limited accountability
15-20 hours of time commitment per week - designed for working professionals
No time commitment
Full-time commitment - not made for working professionals
8-10 hours per week of time commitment - suited to working professionals
Learn on a cutting-edge AI learning platform. Get mentored by industry experts with decades of experience, on a platform designed for ease and personalized learning journeys. It is excellence in learning, made accessible.
Explore NowPOPULAR
Live Interaction
Self paced
Course Fee
₹ 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
POPULAR
Live Interaction
Self paced
Course Fee
$1000
$750
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