Booking options
£12
£12
On-Demand course
2 hours
All levels
Stock markets move with more mystery than a magician’s deck of cards — but behind every dramatic rise and cryptic dip lies data, and data tells a story. This course dives straight into that narrative using deep learning techniques to forecast stock prices with logic, precision, and a pinch of technical finesse. Ideal for those ready to apply neural networks in finance-focused projects, the course simplifies complex theories without watering down their analytical power.
From sequence modelling to time-series predictions using LSTM and beyond, you’ll explore how deep learning tools are being used to understand financial patterns and fluctuations. This course isn’t about abstract theory or vague strategies — it’s a focused look at how data science meets deep learning in the stock market sphere. Whether you’re a data enthusiast or an aspiring financial analyst, this course offers you the clarity and direction needed to interpret and anticipate stock price movement with greater confidence.
Learning Outcomes:
Build a deep learning model using RNN that can accurately predict stock prices.
Preprocess data and perform exploratory data analysis.
Scale features and make predictions on test data.
Gain real-world experience in deep learning development.
Contribute to the development of cutting-edge technology in the finance industry.
The Hands-on Deep Learning Projects - Stock Price Prognostics course is designed to provide you with the skills and knowledge needed to develop a deep learning model using RNN that can accurately predict stock prices. In this course, you'll learn how to preprocess data, perform exploratory data analysis, scale features, and make predictions on test data. The course is perfect for aspiring data scientists, machine learning engineers, and developers interested in deep learning development.
By the end of this course, you'll have a deep understanding of how to build a deep learning model that can revolutionise the world of finance. With hands-on experience in developing cutting-edge technology, you'll be well-equipped to start a career in deep learning and contribute to the development of cutting-edge technology in the finance industry.
Hands on Deep Learning Projects - Stock price Prognostics Course Curriculum
Section 01: Introduction
Section 02: Installation of Tools and Libraries
Section 03: Dataset
Section 04: EDA
Section 05: Feature Scaling
Section 06: Building RNN
Section 07: Prediction on Test Data
Section 08: Output
How is the course assessed?
Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%.
Exam & Retakes:
It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable.
Certification
Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery).
10 CPD hours / points Accredited by CPD Quality Standards
Aspiring data scientists.
Machine learning engineers.
Developers interested in deep learning development.
Anyone interested in the field of deep learning.
Professionals looking to upskill in the latest technology.
Data Scientist: £40,000 to £80,000 per year.
Machine Learning Engineer: £55,000 to £90,000 per year.
Artificial Intelligence Developer: £40,000 to £80,000 per year.
Quantitative Analyst: £30,000 to £80,000 per year.
Financial Data Analyst: £25,000 to £60,000 per year.
Certificate of completion
Digital certificate - £9
You can apply for a CPD Accredited PDF Certificate at the cost of £9.
Certificate of completion
Hard copy certificate - £15
Hard copy can be sent to you via post at the expense of £15.
With a team of industry professionals producing and delivering our course content, you can be sure the skills and knowledge you learn apply to your career aspirations in manag...