CAREER ADVANCE
Master Data Science for Financial Institutions & Fintechs
Give yourself a chance to EARN BIG. Did you know a professional data scientist earns $158,019/annum?
Data plays an essential role in the sustainability of financial institutions & Fintechs.
In this course, you will;
- Master critical data science tools for finance and fintech analysis.
- Earn expertise in the R programming language for financial data science.
- Obtain and cleanse data effectively for accurate analysis.
- Learn industry-standard data analysis techniques for finance applications.
- Utilize data science to prevent fraud, conduct risk analysis, and personalize marketing.
- Develop skills in leveraging data for actionable insights in finance.
- Apply data science to address challenges in fraud prevention, risk analysis, and customer behaviour.
- Network with industry professionals and gain exposure to real-world financial data challenges.
- Get a certificate of completion to flaunt your well-deserved expertise and boost your profile
- Learning Mode: Virtual
- Level: Intermediate to Expert
- Real World Projects: 1
- Duration: 3 months
Data Science Track
14 cumulative modules. 144 hours of active learning, real world projects, group discussions & study material
Data Science for Financial Institutions Curriculum
Learn-by doing with live classes
We understand how important your career is to you, that’s why we want to partner with you, to make the journey to advancing your career & securing global opportunities faster and less cumbersome.
- Where did R come from?
- installing Base R & Studio
- nuts & bolts
- getting data in & out of R
- scalers & vectors
- matrices & dataframe
- Ggplot 2
- Dplyr package
- control structure
- looping functions
- dates & times
- regular expressions
- statistical & inference
- Web scrapping in R
Flaunt your well-deserved expertise and boost your profile. According to LinkedIn, individuals who showcase their credentials receive 6 times more profile views compared to those who don’t.
Enhance your profile by adding your certificates, proudly share your achievements with the global audience, and become part of our esteemed alumni network.
Meet our facilitators
Learn from our World Class Facilitators
DATA SCIENCE PAYMENT OPTIONS
Simple, transparent pricing
Our payment plans are flexible, so you can focus on learning. You either pay upfront, in instalments, or after the completion of your program.
PAY IN FULL
$450
Select your preferred course, and you’ll be redirected to the payment page. Upfront payment guarantees your enrolment into the program
INSTALLMENT
$775
Split payments into monthly instalments and pay 40% upfront to secure your enrolment in the program.
FINANCIAL AID
$775
Apply and get screened for financial aid from our partners, and pay after completing your training. Note that applying for a student loan does NOT guarantee admission, as only shortlisted candidates will be accepted.
Possible Career Paths
Supercharge Your Career with Data Science for Financial Institutions.
Average Career Earnings
$158,019
/ Annum
$158,019
/ Annum
Possible Career Paths
- Data Manager
- Data Architect
- Data Analyst.
- Data Engineer
Fun Fact
Data science was identified as the skill with the largest skill gap, according to a 2021 report by the World Economic Forum. 99% of organizations are actively investing in data transformation initiatives.
Is this program right for me?
This course is ideal for:
- Fintech professionals aiming to harness the power of data science in their industry
- Professionals from financial institutions seeking to leverage data for actionable insights
- Individuals interested in preventing fraud, conducting risk analysis, and personalizing customer experiences in the finance sector.
If you are looking to enhance your data science skills specifically for fintechs and financial institutions, this program is designed to meet your needs. Join us and unlock a world of opportunities in the dynamic field of data science for finance.