Algorithmic Trading & Data Analysis

Turn Market Data Into Trading Intelligence.

Learn how to work with real-time and end-of-day market data, clean and analyse datasets, build screeners and dashboards, and understand the foundations of strategy automation.

Enroll in the Course → Explore the Curriculum
MARKET DATA LAB
DATA STREAM
analysis.py
01 import pandas as pd
02 import numpy as np
03  
04 data = pd.read_csv("market_data.csv")
05 data = data.dropna()
06 data["returns"] = data["close"].pct_change()
07  
08 ✓ Dataset processed successfully
MARKET SCREENER Today's Screening Results
FILTER
Stocks 1,842
Filter Matches 42
Volume 1.8x
Momentum
82
Volume
71
Trend
89
DATA POINTS 2.4M+
SCREENS 18
STRATEGIES 06
Duration 6 Weeks
Mode Online
Designed For Students, Researchers & Aspiring Quants
DATA-DRIVEN TRADING

Learn to Read the Market Through Data.

Modern market research increasingly depends on the ability to collect, organise and interpret large amounts of market data.

This course introduces the practical foundations of working with financial datasets and using tools such as Excel and Python for market research, screening and analysis.

WHAT YOU WILL LEARN

Build Your Quantitative Market Toolkit.

Develop practical skills for working with market data, analysing datasets and creating automated research tools.

01

Real-Time & EOD Market Data

Understand how real-time and end-of-day market data is collected, structured and used for financial research.

Real-Time EOD Market Data
02

Data Cleaning & Analysis

Learn the basics of cleaning financial datasets and analysing market information using Excel and Python.

Excel Python Analysis
03

Market Screeners & Dashboards

Build structured screening systems and dashboards that help filter stocks and identify market opportunities.

Screeners Dashboards Filters
04

Basics of Strategy Automation

Explore the fundamentals of turning market rules into repeatable, data-driven processes for strategy research.

Automation Rules Strategies
THE DATA PIPELINE

From Raw Data to Market Insight.

Learn a simple framework for transforming raw market information into useful analysis and research outputs.

01

Collect

Work with real-time and historical market datasets.

02

Clean

Organise and prepare datasets for meaningful analysis.

03

Analyse

Identify patterns, trends and useful market signals.

04

Automate

Explore how rules can be converted into repeatable processes.

DATA WORKFLOW Quant Research Pipeline
RUNNING
01
DATA Raw Market Data
02
CLEAN Data Preparation
03
ANALYSE Find Patterns
04
OUTPUT Research
Dataset market_data.csv
Rows Processed 248,420
Missing Values 0.02%
Analysis Status ● READY
TOOLS & WORKFLOW

Learn With Practical Data Tools.

Excel

Organise, clean and analyse market datasets using practical spreadsheet workflows.

Python

Understand the foundations of using Python for market data analysis and research.

Market Data

Work with real-time and historical information to develop data-driven insights.

Automation

Explore how repeatable market rules can form the foundation of automated strategies.

✓
COURSE OUTCOME

Learn How to Use Market Data for Research & Analysis.

Build a practical foundation in working with financial datasets, analysing market information, creating screeners and understanding the basics of strategy automation.

6 WEEKS · ONLINE

Start Your Journey Into Data-Driven Trading.

Build the analytical foundation you need to work confidently with market data.

Enroll in the Course →