The Certified Data Scientist-Finance course mainly focuses on the deployment of data science into finance functions. The curriculum is designed to provide a comprehensive understanding of the intersection between data science and finance. It equips students with the knowledge and skills to leverage data-driven insights to make strategic financial decisions.

 Key responsibilities of a Data Scientist-Finance include identifying patterns and trends in financial data, developing predictive models for risk assessment and investment strategies, and creating data-driven solutions for financial institutions. They play a crucial role in areas such as algorithmic trading, fraud detection, customer management, risk analytics, and automated pricing.


USD 38,500 /-
USD 44,000 /-

( 0 seats available)
Enquire Now

Course Highlights

Specialized Knowledge: A certified data scientist in finance likely possesses a blend of data science skills and financial expertise, enabling them to work with financial data more effectively.

Financial Data Analysis: The program may include modules focused on analyzing financial data, understanding market trends, and making data-driven financial decisions.

Risk Assessment: Certification might cover risk assessment techniques and strategies using data analysis to manage financial risks more efficiently.

Predictive Modeling: Participants may learn to develop predictive models for financial forecasting and planning, enabling more informed decision-making.

Regulatory Compliance: The program could include information about the regulatory environment in the finance industry and how data science can help ensure compliance.

Machine Learning Applications: Participants may explore the application of machine learning algorithms in financial modeling, fraud detection, and portfolio optimization.

Business Intelligence: Understanding how to derive valuable insights from financial data to aid in business strategy and decision-making might be a key component.

Ethical Considerations: Programs might emphasize the importance of ethical data handling and decision-making in the context of financial data.

Case Studies: Real-world case studies and projects related to finance can help participants apply their skills to practical scenarios.

Industry Relevance: A reputable certification program may be recognized by the finance industry, helping participants advance their careers in financial data science.


After completing the Data Scientist-Finance course with Skillfloor, you will receive a certification in Data Scientist-Finance. This certification is a testament to your expertise in financial data analysis and analytics. It indicates that you have successfully acquired advanced skills and knowledge in applying data science techniques specifically within the finance domain.

The Data Scientist-Finance certification from Skillfloor is recognized globally and is awarded upon the completion of their specialized program. This certification can significantly enhance your career prospects in the field of finance and data science, as it validates your proficiency in handling financial data, conducting data-driven financial analysis, and making data-driven decisions in the finance industry.


Top 10 Reasons For Choosing this Course

High Demand: Data-driven HR professionals are in high demand as organizations seek to optimize their workforce.

Career Advancement: Acquiring data science skills in HR can lead to career advancement and higher earning potential.

Strategic Decision-Making: Learn to use data to make strategic HR decisions that benefit both employees and organizations.

Competitive Edge: Gain a competitive edge in the HR job market by mastering data science.

Real-world Applications: Apply data science techniques to real HR challenges faced by businesses.

Versatile Skills: Data science skills can be applied in various HR areas, from recruitment to talent management.

Problem Solving: Develop problem-solving skills to address complex HR issues using data-driven insights.

Industry-Relevant: Stay relevant in an evolving HR landscape by combining HR expertise with data science.

Innovation: Contribute to HR innovation by using data science to improve HR processes.

Personal Growth: Challenge yourself to learn a new skill that can transform your HR career. 


Course Curriculum

  •  Overview of data science concepts
     Applications of data science in finance
     Importance of datadriven decision making

  •  Probability theory and distributions
     Hypothesis testing
     Time series analysis
     Regression analysis for finance

  •  Python programming basics
     Data manipulation with pandas library
     Data visualization with matplotlib and seaborn libraries
     Web scraping for financial data

  •  Overview of machine learning algorithms
     Supervised and unsupervised learning techniques
     Feature engineering for finance data
     Model evaluation and selection

  •  Financial statement analysis
     Valuation techniques
     Portfolio management and optimization
     Risk measurement and management

  •  Effective communication of data insights
     Visualizing financial data
     Storytelling with data
     Creating interactive dashboards

  •  Handson project applying data science techniques to finance data
     Working on a reallife finance problem
     Presenting insights to stakeholders

What People Say


Skillfloor training programs provided me with a competitive edge and opened doors for career advancement


Skillfloor helped me enhance my communication skills and boosted my confidence in the workplac


The training program at Skillfloor provided practical insights that I could immediately apply to my job


I highly recommend Skillfloor for their comprehensive leadership development program


Skillfloor trainers are top-notch professionals who made the learning experience engaging and enjoyable


The online training platform offered by Skillfloor was user-friendly and convenient