Best Machine Learning in Finance Course by E&ICT Academy, IIT Kanpur
Best Machine Learning in Finance Course: In the current technically advanced scenario, machine learning is being integrated into the financial industry at a large pace. Becoming an essential practice, machine learning is finding applications in different financial services, from risk assessment to trading decisions.
Therefore, with its advent, machine learning in Finance is an up-and-coming field, generating demand for experts who can implement machine learning or ML to improve financial practices.
Anyone interested in technology and Finance or a financial professional looking to upskill can take a machine learning in finance course to enter this lucrative field. Read on to find the best Machine Learning in Finance Courses.
What is Machine Learning in Finance?
Machine learning, or ML, is a part of artificial intelligence. It refers to the development of learning algorithms using models that can identify trends from existing data to make predictions, mimicking human cognitive progress.
Such machine learning models are being developed for the finance industry, as they involve large data sets and work with trends and patterns that the human eye may miss. Advancing the fintech sector, ML finds various applications in Finance, including:
- Asset management
- Risk evaluation
- Calculation of credit scores
- Mitigating human error risks
- Automation of repetitive tasks
- Prediction of the stock market
- Predicting customer behavior
Besides, there are various ways in which machine learning can be integrated into the finance sector, helping identify patterns, make predictions, and automate tasks for streamlined processes and reduced risks.
Machine Learning in Finance As A Career
The finance sector relies on data-driven decision-making. Therefore, the introduction of ML in Finance has proved to be highly advantageous. As a developing field, machine learning in Finance has generated a demand for experts due to its wide applications and benefits.
Combining the IT and finance sectors, ML in Finance opens up opportunities for different roles, such as:
- Quantitative research analyst
- Machine learning engineer
- Machine learning modeler
- Data scientist in Finance
Since these job roles combine two sectors and involve the development of AI, they provide lucrative salaries, growth opportunities, and benefits. Moreover, as a rising field with few experts, a career in machine learning in Finance comes with job security.
The Best Machine Learning in Finance Course
If you want to enter the growing career field of machine learning in Finance, you should enroll in a course that teaches you the basics, equips you with the right skills, and provides hands-on practice and project experience.
Machine learning in finance courses is available in both self-paced and online class formats. To get started, you can enroll in the best Machine Learning in Finance Courses by E&ICT Academy, IIT Kanpur:
- Advanced Certification in AI & Machine Learning (Self-Paced + Faculty Support)
- Advanced Certification in AI & Machine Learning (Live Online Class)
The advanced certification in AI and Machine Learning course is available as an 11-month-long online boot camp or as a self-paced course with faculty support. Industry experts developed and delivered the course jointly by the EICT Academy under the Ministry of Electronics & Information Technology (MeitY), E&ICT Academy, and IIT Kanpur.
Machine Learning in Finance Course Eligibility
To be able to enroll in this course, you should be a graduate or pursuing graduation in any field. Moreover, while the course will teach basic programming, a programming background is recommended.
Course Offerings
The AI and Machine learning certification course by IITK and E&ICT Academy offers the following to its students:
- 180 hours of learning
- Hands-on training with 70% practical content
- Placement assistance
- Faculty from IIT Kanpur and industry leaders
- 24×7 lifetime access to the course content
- 10 industry projects from different domains
Fee And Certifications
Upon completing the course, you will receive a certification from E&ICT Academy, IIT Kanpur, one of the top academic institutes in the country. This certificate will only be issued after completing the project assigned in the course.
The fee for the self-paced course is ₹94,900.00 + GST, while that of the online bootcamp is ₹149,900.00 + GST.
What You Will Learn
This course teaches you the different tools and methods of statistical modeling, data analytics, data visualization, Tableau, R, and SQL. Upon taking this course, you will learn;
- Python fundamentals
- Statistic basics
- Neural networks in python
- Image captioning and style transfer
- Face detection and recognition
- SQL data types and operators
There are various topics divided into three categories: Machine Learning in Python, Deep Learning in TensorFlow and Keras, and Data Analysis in SQL.
Besides these classes, you will be working on multiple real-world projects across different sectors, such as manufacturing, pharma, BFSI, BPO, Spam Filter, Music Streaming, and Car Safety Systems.
Benefits Of Taking Machine Learning In Finance Course
The ML course offered by IIT K and E&ICT academy offers a comprehensive specialization to participants, imparting their knowledge and skills in Python SQL, Tensorflow, Machine learning, Deep learning, and Keras.
Different machine learning in finance course benefits include:
- The hands-on project helps create a portfolio representing your skills and credibility.
- Receive a certificate from one of the best institutes, offering you a better placement opportunity.
- Showcase your projects in your CV
- Hands-on experience with problem-solving
Therefore, by taking a Machine learning in finance course, you can easily and quickly advance in your career and enter a field that is constantly growing and evolving. The hands-on experience will also help you transition from the classroom to the real world easily.
Machine Learning in Finance Jobs
A machine learning in finance course certification makes you eligible for roles like:
1. Machine learning data analyst
A machine learning data analyst is responsible for analyzing data sets and providing insights for data-driven decision-making using machine learning models.
2. Quantitative research analyst
A quantitative research analyst develops ML models to help identify trading opportunities and manage risk.
3. Machine learning engineer
An ML engineer in Finance is responsible for developing new machine learning-based financial products and updating existing tools using computation techniques.
4. Machine learning modeler
A machine learning modeler is tasked with creating and deploying machine learning algorithms to help solve complex problems.
5. Data scientist in Finance
A data scientist in Finance analyses datasets to provide insights using machine learning techniques. This helps optimize processes and enhance finance models.
6. Risk Manager
A risk manager implements machine learning models to identify and mitigate financial risks. Based on ML-generated insights, a risk manager develops strategies that can help protect the firm’s assets.
Summing Up
Machine learning in Finance is a growing field, generating demand for experts who can help build, deploy, and leverage machine learning models to advance the financial sector, helping mitigate risk, make informed decisions, and create better policies.
Taking up a course, such as Advanced Certification in AI & Machine Learning offered by IIT K and E&ICT Academy, equips you with the right knowledge, skills, and experience to enter the fintech field as a professional, giving your career a kickstart.
