Python Programming
Acquire proficiency in programming by mastering fundamental and advanced concepts. Explore topics ranging from basic elements like variables, objects, and functions to more sophisticated aspects such as advanced data structures and algorithms. Delve into key concepts including dictionaries, linked lists, trees, and efficient search and sort algorithms. Additionally, familiarize yourself with essential libraries like Pandas and Numpy. This comprehensive approach will empower you to establish a solid foundation in programming and enhance your problem-solving skills.
Data Science
Extract new insights from data and learn how to manipulate, visualize, and analyze large data sets. Data science is more than just applying mathematical concepts – it is as much art as science and requires more than excellent technical skills. To be able to draw conclusions from the data that will be helpful in real life, you need to balance complexity and interpretability of your methods. To do that, you need to develop the intuition and understand the limitations of data science.
Financial Trading
Gain a foundational comprehension of interest rate theory and delve into the fundamentals of asset pricing. Following the introduction to finance, this module will pivot towards a thorough examination of futures trading. This exploration encompasses a comprehensive understanding of the futures market, coupled with hands-on experience in crafting and implementing basic trading strategies.
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Small group classes to empower young minds with quantitative skills to tackle real-world problems
Python Programming
The programming segment of this course places a significant focus on the adept development of algorithms, prioritizing cleanliness and efficiency. Special attention is given to the proficiency in generating algorithms that are optimized in terms of both time and space utilization.
Outline of the module:
Outline of the module:
- Quick coverage of the basics
▻ Variables, loops, control flow.
▻ Primitive data structures (arrays, lists, tuples)
▻ Functions and objects.
▻ Primitive data structures (arrays, lists, tuples)
▻ Functions and objects.
▻ Searching
▻ Sorting
▻ Iteration
▻ Multiple pointers
▻ Sorting
▻ Iteration
▻ Multiple pointers
- Advanced data structures
▻ Linked lists
▻ Stacks and queues
▻ Heaps
▻ Hashing and hash tables
▻ Trees and graphs
▻ Stacks and queues
▻ Heaps
▻ Hashing and hash tables
▻ Trees and graphs
- Advanced algorithms
Data Science
Many individuals entering the field of data science often hold a strong belief that it primarily revolves around building models. However, this perception couldn't be further from the truth. Data science, which encompasses both art and science, involves a multifaceted process, including obtaining relevant data, preparing and cleaning it, generating visualizations, and ensuring data quality. Remarkably, these preparatory steps can often consume more time than the subsequent analysis and model creation.
Outline of the module:
Outline of the module:
- Basic probability and statistics
▻ Measures of central tendency.
▻ Measures of variability.
▻ Two distributions: binomial and normal.
▻ Measures of variability.
▻ Two distributions: binomial and normal.
▻ Supervised vs. unsupervised learning
▻ Regression vs. classification
▻ Estimation techniques (linear regression, nearest neighbors classifier)
▻ Regression vs. classification
▻ Estimation techniques (linear regression, nearest neighbors classifier)
- Exploratory data analysis and visualization
▻ How to handle missing data
▻ Outlier detection and treatment
▻ Generate informative plots
▻ Descriptive statistics
▻ Outlier detection and treatment
▻ Generate informative plots
▻ Descriptive statistics
- Machine learning
Financial Trading
This is the final module of the course which is built on the knowledge from Python Programming and Data Science modules. Students will get a basic understanding of the financial markets by learning the basic methods of pricing financial assets and understanding the role of interest rates in finance. After that we will discuss the details of futures markets and generate simple trading strategies.
Outline of the module:
Outline of the module:
- Interest rates
▻ What are interest rates and what affects their level.
▻ How are interest rates used in asset pricing.
▻ How are interest rates used in asset pricing.
▻ Specifications of futures contracts.
▻ Expiration and rolling.
▻ Futures curve – contango and backwardation.
▻ Trends and patterns in futures markets.
▻ Trading strategies: trend following and implied yield.
▻ Expiration and rolling.
▻ Futures curve – contango and backwardation.
▻ Trends and patterns in futures markets.
▻ Trading strategies: trend following and implied yield.
- Derivatives
▻ What are derivatives used for.
▻ How are derivatives priced.
▻ How are derivatives priced.
- Futures
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