263 Educators providing Stock Market courses delivered Live Online

Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python-experienced attendees who wish to be equipped with the skills you need to use pandas to ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to: Understand how data analysts and scientists gather and analyze data Perform data analysis and data wrangling using Python Combine, group, and aggregate data from multiple sources Create data visualizations with pandas, matplotlib, and seaborn Apply machine learning (ML) algorithms to identify patterns and make predictions Use Python data science libraries to analyze real-world datasets Use pandas to solve common data representation and analysis problems Build Python scripts, modules, and packages for reusable analysis code Perform efficient data analysis and manipulation tasks using pandas Apply pandas to different real-world domains with the help of step-by-step demonstrations Get accustomed to using pandas as an effective data exploration tool. Data analysis has become a necessary skill in a variety of domains where knowing how to work with data and extract insights can generate significant value. Geared for data team members with incoming Python scripting experience, Hands-On Data Analysis with Pandas will show you how to analyze your data, get started with machine learning, and work effectively with Python libraries often used for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn. Using real-world datasets, you will learn how to use the powerful pandas library to perform data wrangling to reshape, clean, and aggregate your data. Then, you will be able to conduct exploratory data analysis by calculating summary statistics and visualizing the data to find patterns. In the concluding lessons, you will explore some applications of anomaly detection, regression, clustering, and classification using scikit-learn to make predictions based on past data. Students will leave the course armed with the skills required to use pandas to ensure the veracity of their data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Introduction to Data Analysis Fundamentals of data analysis Statistical foundations Setting up a virtual environment Working with Pandas DataFrames Pandas data structures Bringing data into a pandas DataFrame Inspecting a DataFrame object Grabbing subsets of the data Adding and removing data Data Wrangling with Pandas What is data wrangling? Collecting temperature data Cleaning up the data Restructuring the data Handling duplicate, missing, or invalid data Aggregating Pandas DataFrames Database-style operations on DataFrames DataFrame operations Aggregations with pandas and numpy Time series Visualizing Data with Pandas and Matplotlib An introduction to matplotlib Plotting with pandas The pandas.plotting subpackage Plotting with Seaborn and Customization Techniques Utilizing seaborn for advanced plotting Formatting Customizing visualizations Financial Analysis - Bitcoin and the Stock Market Building a Python package Data extraction with pandas Exploratory data analysis Technical analysis of financial instruments Modeling performance Rule-Based Anomaly Detection Simulating login attempts Exploratory data analysis Rule-based anomaly detection Getting Started with Machine Learning in Python Learning the lingo Exploratory data analysis Preprocessing data Clustering Regression Classification Making Better Predictions - Optimizing Models Hyperparameter tuning with grid search Feature engineering Ensemble methods Inspecting classification prediction confidence Addressing class imbalance Regularization Machine Learning Anomaly Detection Exploring the data Unsupervised methods Supervised methods Online learning The Road Ahead Data resources Practicing working with data Python practice

Course Overview: This Investment course offers learners a comprehensive understanding of investment strategies and financial markets. The course covers a range of essential topics, including different investment types, portfolio management, and risk assessment. Learners will gain valuable insights into bond and stock markets, enabling them to make informed decisions in diverse investment environments. The course is designed for those looking to enhance their investment knowledge, regardless of their current financial expertise, providing a solid foundation in the principles of investing. Course Description: In this course, learners will explore various investment methods, from bonds to stocks, and gain an understanding of core financial concepts such as portfolio diversification and risk management. The course delves into investment theory, focusing on how markets function, the evaluation of potential returns, and the identification of risk factors. With an emphasis on building a structured investment strategy, learners will also gain an understanding of how to manage and optimise their portfolios. By the end, learners will have the tools and knowledge to evaluate different investment opportunities, supporting their financial growth and decision-making processes. Course Modules: Module 01: Introduction to Investment Overview of investment basics The role of investments in personal finance Understanding risk and return Module 02: Types and Techniques of Investment Stock market, bonds, and real estate investments Active vs passive investing Introduction to alternative investments Module 03: Key Concepts in Investment Compound interest and time value of money Diversification and asset allocation Financial instruments overview Module 04: Understanding the Finance Basics of financial statements Financial ratios and metrics Introduction to valuation techniques Module 05: Investing in Bond Market Types of bonds and their characteristics Bond pricing and yields Understanding interest rates and bond durations Module 06: Investing in Stock Market Stock market indices and trading Analysis of stock performance Fundamentals of stock picking Module 07: Risk and Portfolio Management Measuring and managing investment risk Portfolio construction and diversification strategies Evaluating portfolio performance (See full curriculum) Who is this course for? Individuals seeking to develop investment skills for personal financial growth. Professionals aiming to enhance their understanding of financial markets. Beginners with an interest in investing and financial markets. Anyone interested in building a solid foundation in investment strategies. Career Path: Investment Analyst Financial Planner Portfolio Manager Stock Broker Risk Manager Wealth Manager Financial Consultant

Course Overview "Stock Trading Analysis with Volume Trading" is designed to provide learners with a comprehensive understanding of how to leverage volume analysis in stock trading. This course covers essential volume indicators, strategies, and techniques, empowering learners to make informed trading decisions. The course aims to enhance trading skills by explaining how volume trends can influence stock price movements, offering learners practical insights into market behaviour. By the end of the course, learners will have the ability to interpret volume data, use it to spot market trends, and apply it within their trading strategies, enhancing their confidence and decision-making capabilities in stock trading. Course Description This course delves into the critical aspect of volume analysis in stock trading, providing a thorough exploration of how trading volume can provide valuable market insights. Learners will study various volume indicators and their applications, uncover trading strategies that incorporate volume as a key factor, and gain the skills necessary to identify profitable market movements. The course also includes practical examples and analysis to demonstrate how volume impacts stock trends, while familiarising learners with the tools used in volume trading. By completing this course, learners will develop the expertise to utilise volume trading strategies to enhance their trading performance and make more informed decisions in real-time market scenarios. Course Modules Module 01: Volume Analysis Module 02: Volume Studies and Indicators Module 03: Volume Trading Strategies and Techniques Module 04: Examples and Analysis Module 05: Trading Platform (See full curriculum) Who is this course for? Individuals seeking to enhance their stock trading skills Professionals aiming to develop expertise in volume trading strategies Beginners with an interest in stock market analysis Anyone looking to understand the role of volume in trading decisions Career Path Stock Trader Financial Analyst Investment Advisor Trading Platform Specialist Portfolio Manager

The Forensic Analysis Bootcamp is an 8-week deep-dive into forensic equity analysis, featuring a 90-minute Zoom workshop each week. The content includes extensive use of real-life case studies and covers stocks spanning a wide range of sectors and regions. You will learn how companies manipulate expenses and inflate profits, how to spot balance sheet issues, weaknesses of the cash flow statement and issues and more.