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Course content

About Financial Analytics with Python Program in Croatia (Hrvatska)

  • Programming Explained in 5 Minutes
  • Why Python?
  • Why Jupyter?
  • Installing Python and Jupyter
  • Jupyter’s Interface – the Dashboard
  • Jupyter’s Interface – Prerequisites for Coding
  • Jupyter’s Interface
  • Python 2 vs Python 3: What's the Difference?
  • Variables
  • Numbers and Boolean Values
  • Strings
  • Arithmetic Operators
  • The Double Equality Sign
  • Reassign Values
  • Add Comments
  • Line Continuation
  • Indexing Elements
  • Structure Your Code with Indentation
  • Comparison Operators
  • Logical and Identity Operators
  • Introduction to the IF statement
  • Add an ELSE statement
  • Else if, for Brief – ELIF
  • A Note on Boolean Values
  • Defining a Function in Python
  • Creating a Function with a Parameter
  • Another Way to Define a Function
  • Using a Function in another Function
  • Combining Conditional Statements and Functions
  • Creating Functions Containing a Few Arguments
  • Notable Built-in Functions in Python
  • Functions
  • Lists
  • Using Methods
  • List Slicing
  • Tuples
  • Dictionaries
  • For Loops
  • While Loops and Incrementing
  • Create Lists with the range() Function
  • Use Conditional Statements and Loops Together
  • All In – Conditional Statements, Functions, and Loops
  • Iterating over Dictionaries
  • Object Oriented Programming
  • Modules and Packages
  • The Standard Library
  • Importing Modules
  • Must-have packages for Finance and Data Science
  • Working with arrays
  • Generating Random Numbers
  • A Note on Using Financial Data in Python
  • Sources of Financial Data
  • Accessing the Notebook Files
  • Importing and Organizing Data in Python
  • Considering both risk and return
  • Calculating a security's rate of return
  • Calculating a Security’s Rate of Return in Python – Simple Returns  
  • Calculating a Security’s Return in Python – Logarithmic Returns
  • What is a portfolio of securities and how to calculate its rate of return
  • Calculating a Portfolio of Securities' Rate of Return
  • Popular stock indices that can help us understand financial markets
  • How do we measure a security's risk?
  • Calculating a Security’s Risk in Python
  • The benefits of portfolio diversification
  • Calculating the covariance between securities
  • Measuring the correlation between stocks
  • Calculating Covariance and Correlation
  • Considering the risk of multiple securities in a portfolio
  • Calculating Portfolio Risk
  • Understanding Systematic vs. Idiosyncratic risk
  • The fundamentals of simple regression analysis
  • Running a Regression in Python
  • Are all regressions created equal? Learning how to distinguish good regressions
  • Computing Alpha, Beta, and R Squared in Python
  • Markowitz Portfolio Theory - One of the main pillars of modern Finance
  • Obtaining the Efficient Frontier in Python
  • The intuition behind the Capital Asset Pricing Model (CAPM)
  • Understanding and calculating a security's Beta
  • Calculating the Beta of a Stock
  • The CAPM formula
  • Calculating the Expected Return of a Stock (CAPM)
  • Introducing the Sharpe ratio and how to put it into practice
  • Obtaining the Sharpe ratio in Python
  • Measuring alpha and verifying how good (or bad) a portfolio manager is doing
  • Multivariate regression analysis - a valuable tool for finance practitioners
  • Running a multivariate regression in Python
  • The essence of Monte Carlo simulations
  • Monte Carlo applied in a Corporate Finance context
  • Monte Carlo: Predicting Gross Profit 
  • Forecasting Stock Prices with a Monte Carlo Simulation
  • Monte Carlo: Forecasting Stock Prices 
  • An Introduction to Derivative Contracts
  • The Black Scholes Formula for Option Pricing
  • Monte Carlo: Black-Scholes-Merton
  • Monte Carlo: Euler Discretization  
  • Why Should You Learn Financial Analytics with Python Program in Croatia (Hrvatska) Training?

    The annual salary of an Financial Analytics with Python Program in Croatia (Hrvatska) is $125k.

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    What you will get at Zeblearnindia Learning?

    Zeblearnindia Learning is your one-stop institute in Croatia (Hrvatska) to learn SAP Online Training Courses, Foreign language, Web Designing, Data Science, Fullstack Developer, Salesforce, Workday, Machine Learning, software testing and video editing. With the flexibility of choosing between online and classroom (offline) modes of learning, our comprehensive courses have been specifically designed for students, working professionals, businessmen and entrepreneurs. Here’s what you’ll get at Zeblearnindia Learning:

    •   Trainers with 17+ years of experience
    •   100% Practical approach
    •   100% job placement assistance
    •   Highly-detailed learning material
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    TRAINING FEATURES

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    Real-life Case Studies

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    Assignment

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    Lifetime Access

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    24 x 7 Expert Support

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    Track Week Days Course Duration Fast Track
    Week Days 40-45 Days 2 Hrs. Per Day Online
    Course Duration 7 Weekends 3 Hrs. Per Day Online
    Fast Track 8 Days 6+ Hrs. Per Day Online

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    Students Reviews

    Read genuine student reviews on ZebLearn’s expert-led SAP training and foreign language courses. Hear success stories from learners who gained certifications, skills, and career growth!

    Arun Kapoor
    Financial Analyst
    The Financial Analytics with Python program at ZebLearnIndia was exceptional. It provided a comprehensive understanding of financial data analysis using Python. The course’s hands-on projects and detailed instructions allowed me to apply Python skills effectively in my financial analysis work, enhancing my decision-making capabilities.
    Priya Sinha
    Investment Banker
    I found the Financial Analytics with Python program at ZebLearnIndia to be incredibly valuable. The integration of Python with financial analytics taught me how to manage and analyze large data sets efficiently. The practical exercises and real-world examples made the learning process both engaging and applicable.
    Rajesh Sharma
    Finance Manager
    ZebLearnIndias Financial Analytics with Python program provided me with essential tools to analyze financial data effectively. The course combined theoretical knowledge with practical Python coding skills, which has greatly improved my ability to generate insightful financial reports and forecasts.
    Neha Joshi
    Risk Analyst
    The Financial Analytics with Python program at ZebLearnIndia was a transformative learning experience. The course’s focus on Python for financial data analysis allowed me to develop advanced analytical skills. The structured lessons and expert feedback were instrumental in applying these skills to assess financial risks accurately.
    Vikram Mehta
    Financial Consultant
    ZebLearnIndias Financial Analytics with Python program exceeded my expectations. The course effectively bridged the gap between financial theory and Python programming. The practical approach, including hands-on projects and case studies, provided me with valuable insights and tools for financial analysis.

    Financial Analytics with Python Program in Croatia (Hrvatska) - Flexible batches for you

    Date Type Schedule Time
    SOLD OUT 13 March 2025 Weekend SAT - SUN (08 Week) 18:00 To 20:00
    Filling Img 18 March 2025 Weekday MON - FRI (08 Week) 08:00 To 10:00
    23 March 2025 Weekend MON - FRI (08 Week) 10:00 To 00:00

    Price  1,20,000

    Now  95,000

    Enroll Now, Pay Later

    Explore Our Courses Across Croatia (Hrvatska) - Flexible batches

    We are proud to offer our Financial Analytics with Python Program in Croatia (Hrvatska) services across numerous states of Croatia (Hrvatska).

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