19 Educators providing Technical Analysis courses in London 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

At Smack the Markets we offer a different way for serious traders who want a bespoke and personal approach to learning to trade. We work with a small number of new traders on a one-to-one basis at a time. This enables us to develop a program completely around you, whether you’re brand new to this business and need to start from scratch, or you have some experience but need to unlearn what’s not working and relearn new skills that do work.   Because your requirements may be unique, our bespoke programs are flexible too. We aim to work with new traders over the long term (typically as long as a year) to ensure you’ve mastered the skills and techniques we’ve taught, and also to ensure you can apply them effectively in different market conditions.   Our typical one-to-one programs will consist of weekly live online workshops covering the trading skills and techniques you need, moving gradually to monthly coaching and mentoring sessions as you become more proficient in trading on your own.   Our style of trading incorporates a combination of fundamental and technical analysis to read the markets, using one of four technical trading strategies to execute trade positions. Our strategies are suitable for all liquid markets including Indices, Forex, Commodities and Stocks.   All our bespoke programs include some access to our online trading room, so you can observe how we are using the same techniques to trade the markets ourselves. Once you have gained suitable experience in our trading methods and have a good understanding of risk management, you will be offered full membership, which will give you permanent access to the trading room and other membership services should you wish.   As a guild our bespoke one-to-one programs can range from 5 to 15+ individual sessions with prices ranging in the region of £1,500.00 to £3,000.00 depending on your requirements and current trading experience.   If you would like to discuss our bespoke one-to-one programs further, please get in touch to arrange a no obligation consultation with our head trader.