Skip to content

Hands on Deep Learning Projects - Stock price Prognostics

Accredited by CPD QS | Interactive Lessons | Tutor Support included | Special Discount Price


One Education

Summary

Price
£12 inc VAT
Study method
Online
Duration
2 hours · Self-paced
Access to content
12 months
Qualification
No formal qualification
CPD
10 CPD hours / points
Certificates
  • Certificate of completion - £9
  • Certificate of completion - £15
Additional info
  • Exam(s) / assessment(s) is included in price
  • Tutor is available to students

Add to basket or enquire

Overview

The world of finance can be unpredictable and ever-changing. Gain a competitive edge with our Hands-on Deep Learning Projects - Stock Price Prognostics course. In this course, you'll learn how to build a deep learning model using RNN that can accurately predict stock prices. With a comprehensive curriculum that covers everything from data preprocessing to model building and evaluation, this course is perfect for those looking to upskill in the field of deep learning.

Our course modules are designed to provide you with a hands-on learning experience. You'll learn how to install tools and libraries, explore datasets, perform exploratory data analysis, and build and evaluate a deep learning model. You'll also learn how to scale features and make predictions on test data. By the end of this course, you'll have a deep understanding of how to develop cutting-edge technology that can revolutionise the world of finance.

This course is perfect for aspiring data scientists, machine learning engineers, and developers who want to gain real-world experience in deep learning development. With the skills and knowledge gained from this course, you'll be able to start a career in the exciting field of deep learning and contribute to the development of cutting-edge technology in the finance industry.

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.

Certificates

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.

CPD

10 CPD hours / points
Accredited by CPD Quality Standards

Course media

Description

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).

Who is this course for?

  • 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.

Career path

  • 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.

Questions and answers

Currently there are no Q&As for this course. Be the first to ask a question.

Reviews

Currently there are no reviews for this course. Be the first to leave a review.

FAQs

Study method describes the format in which the course will be delivered. At Reed Courses, courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

CPD stands for Continuing Professional Development. If you work in certain professions or for certain companies, your employer may require you to complete a number of CPD hours or points, per year. You can find a range of CPD courses on Reed Courses, many of which can be completed online.

A regulated qualification is delivered by a learning institution which is regulated by a government body. In England, the government body which regulates courses is Ofqual. Ofqual regulated qualifications sit on the Regulated Qualifications Framework (RQF), which can help students understand how different qualifications in different fields compare to each other. The framework also helps students to understand what qualifications they need to progress towards a higher learning goal, such as a university degree or equivalent higher education award.

An endorsed course is a skills based course which has been checked over and approved by an independent awarding body. Endorsed courses are not regulated so do not result in a qualification - however, the student can usually purchase a certificate showing the awarding body's logo if they wish. Certain awarding bodies - such as Quality Licence Scheme and TQUK - have developed endorsement schemes as a way to help students select the best skills based courses for them.