Applied Data Science for Financial Decision-Making & Investment Management Course Overview

Unlock the power of data with our Applied Data Science for Financial Decision-Making & Investment Management course. This program equips participants with essential skills in data analysis, predictive modeling, and financial forecasting. By the end of the course, you will be able to make informed decisions that enhance investment strategies and optimize financial performance.

Key learning objectives include understanding data visualization techniques, leveraging machine learning for market analysis, and applying statistical methods to interpret financial data. You'll engage in practical applications, using real-world scenarios to develop effective investment strategies. Join us to elevate your financial acumen through the lens of data science!

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Course Fee	2,150
Total Fees	2,150 (USD)

USD

1,700^♱

View Fees Breakdown

Course Fee	1,700
Total Fees	1,700 (USD)

USD

^♱

View Fees Breakdown

Flexi Video	16,449
Official E-coursebook
Exam Voucher (optional)
Hands-On-Labs²	4,159
+ GST 18%	4,259
Total Fees (without exam & Labs)	22,359 (INR)
Total Fees (with Labs)	28,359 (INR)

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Live Training (Duration : 40 Hours)
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4 Hours

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8 Hours

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Live Training (Duration : 40 Hours)
Per Participant
Classroom Training fee on request

Koeing Learning Stack

Koenig Learning Stack

Free Pre-requisite Training

Join a free session to assess your readiness for the course. This session will help you understand the course structure and evaluate your current knowledge level to start with confidence.

Assessments (Qubits)

Take assessments to measure your progress clearly. Koenig's Qubits assessments identify your strengths and areas for improvement, helping you focus effectively on your learning goals.

Post Training Reports

Receive comprehensive post-training reports summarizing your performance. These reports offer clear feedback and recommendations to help you confidently take the next steps in your learning journey.

Class Recordings

Get access to class recordings anytime. These recordings let you revisit key concepts and ensure you never miss important details, supporting your learning even after class ends.

Free Lab Extensions

Extend your lab time at no extra cost. With free lab extensions, you get additional practice to sharpen your skills, ensuring thorough understanding and mastery of practical tasks.

Free Revision Classes

Join our free revision classes to reinforce your learning. These classes revisit important topics, clarify doubts, and help solidify your understanding for better training outcomes.

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

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♱ Excluding VAT/GST

You can request classroom training in any city on any date by Requesting More Information

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

Happiness Guaranteed

Target Audience for Applied Data Science for Financial Decision-Making & Investment Management

The Applied Data Science for Financial Decision-Making & Investment Management course equips professionals with essential skills to leverage data science techniques for informed financial strategies and investment decisions.

Target Audience and Job Roles:

Financial Analysts

Investment Managers

Data Scientists specializing in finance

Risk Analysts

Portfolio Managers

Quantitative Analysts

Banking Professionals

Financial Consultants

Business Intelligence Analysts

Asset Managers

Corporate Finance Professionals

Actuaries

Financial Advisors

Hedge Fund Managers

Wealth Management Advisers

Academic Researchers in Finance

Graduate Students in Finance and Data Science

Learning Objectives - What you will Learn in this Applied Data Science for Financial Decision-Making & Investment Management?

Introduction:
The Applied Data Science for Financial Decision-Making & Investment Management course equips students with essential skills and knowledge to leverage data science techniques for effective financial analysis and investment strategies.

Learning Objectives and Outcomes:

Understand foundational concepts of data science and its application in finance.

Analyze and interpret financial data using statistical methods.

Utilize machine learning algorithms for predictive analytics in investment management.

Develop financial models to guide decision-making processes.

Implement data visualization techniques to communicate financial insights effectively.

Explore risk management strategies through data-driven analysis.

Assess the impact of economic indicators on financial markets.

Use Python and relevant libraries for data manipulation and analysis.

Conduct comprehensive portfolio analysis and optimization.

Evaluate ethical considerations and data governance in financial data usage.

Applied Data Science for Financial Decision-Making & Investment Management Course Overview

2,150^♱

1,700^♱

^♱

Fee On Request