Stock Market Analysis and AI
Live/Online/8Weeks/BestPrice
Unlock the Full Potential of Stock Market Analysis and AI Mini Bootcamp
Explore the Future of the World of Finance and Data with Python
- Embark on a transformative 8-week journey to master the intricacies of the stock market and harness the power of Python programming for data analysis, machine learning model development, and AI.
- This comprehensive course is structured to provide you with a solid foundation in stock market analysis, financial modeling, coding in python, time series analysis, and machine learning techniques such as neural networks.
Semi Hasaj
I’m currently a Data Scientist at C3 AI where I develop and deploy ML within our CRM application. I studied Data Science while obtaining my Master’s of Business Analytics at MIT, and prior to that, I studied Space Engineering in Toronto, Canada.
What to Expect
Introduction to Stock Market
- Overview of the stock market and its components
- Introduction to financial markets and instruments
- Understanding stocks, companies, and assets
- Importance of data in stock market analysis
Python Programming Fundamentals
- Basic Python programming for data manipulation
- Common data structures and algorithms
- Introduction to libraries (e.g.NumPy, Pandas)
- Hands-on exercises with financial data
Stock Market Data Analysis
- Introduction to data analysis libraries in Python (e.g. Matplotlib)
- Performing Exploratory Data Analysis (EDA)
- Analyzing trends and distributions in financial data
- Hands-on data visualization exercises with financial data
- Descriptive statistics for financial data
Time Series Analysis in Finance
- Introduction to time series analysis
- Time series components: trend, seasonality, and noise
- Hands-on exercises on time series decomposition using Python
- Autocorrelation and partial autocorrelation
- Introduction to ARIMA (AutoRegressive Integrated Moving Average) model
- Building and tuning ARIMA models
- Practical application on historical stock prices
Machine Learning for Stock Market Prediction
- Introduction to machine learning in finance
- Feature engineering for stock market data
- Building a simple machine learning model for stock prediction
- Training and evaluation for regression models
- Training and evaluation for classification models
- Neural Networks (e.g. LSTM) for stock prediction
- Practical exercises with machine learning in stock market analysis
How You’ll Learn
- Engage in interactive live sessions covering key topics.
- Access dynamic video lessons, exploring commands, features, and parameters.
- Participate in hands-on workshops and apply your learning to real-world scenarios.
- Complete custom projects to enhance your stock market analysis portfolio.
- Utilize curated resources to deepen your understanding and push your creative boundaries.
Who Is This Course For
Duration
8 weeks
Skill Level
Intermediate/Advanced
Price / Early Bird
$900 / $500
Hands-on
8 weeks
Location
Remote
Earlybird Deadline
Dec 31, 2024
The Next Batch
Feb 8, 2025
12-2 pm – 8 Weeks
Capstone Project and Final Presentations
- Work on capstone projects in small groups
- Group presentations of capstone projects
Learn from Industry Experts and Seasoned Educators
Why Choose Us?
We embrace a hands-on learning philosophy, emphasizing practical experiences for an authentic grasp of data science concepts. Committed to cultivating the growth of emerging professionals in the data science realm, our program provides a distinctive opportunity to collaborate with seasoned experts. Join our dynamic team and immerse yourself in gaining practical expertise in areas such as data analysis, machine learning, and statistical modeling.
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