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Professional Certificate in

Trade Analytics Course

Become an expert in Trade Analytics with ‘Certification Course in Trade Analytics’ you will emerge as a professional ready to grab innumerable opportunities and boost your career in the space of Stock Market Analysis, Trading strategies using Machine Learning, Predictive Analytics, and many more.
  • Get Trained by Trainers from ISB, IIT & IIM
  • 16 Hours of Intensive Online Sessions
  • 20 Hours of Free Python Programming Videos
  • Get Quiz Questions and Use Cases
Trade Analytics course - 360digitmg
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Trade Analytics course reviews - 360digitmg
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Academic Partners & International Accreditations
  • Trade Analytics course with Microsoft
  • Trade Analytics course certification with NASSCOM certificate
  • Trade Analytics course with INNODATATICS certificate
  • Trade Analytics course with TUV
  • Trade Analytics course with SUNY
  • Trade Analytics course with NEF

Recent technological developments have facilitated the exchange of information, securities and funds worldwide in financial markets which is a global activity. Electronic trading not only improves transparency of predominant prices in a market but also provides more information such as the depth of a market which indicates the potential supply and demand away from the current market price. Also the exponential increase in computing power and data storage in the last decade has resulted in the rapid development of machine learning and data mining with diverse applications in economics, finance, science, engineering, and technology. Many researchers have shown their interest in understanding the data of the financial area using machine learning models that have given rise to considerable predictive power.

Trade Analytics

Program Cost

INR 12,000/-

Overview of Trade Analytics Course

A Big Data strategy can be used to gather and process information surrounding specific markets to create a clear understanding of sentiments that drive front office trading strategies, as well as to determine the valuation of individual securities. Using this information, traders are able to determine whether various market participants and commentators are talking about being characterised by falling prices and can then formulate investment strategies accordingly. Trade analytics includes application in areas such as sentiment analysis, High Frequency Trading (HFT), pre-trade decision making, and transaction cost analysis, among others. Due to a cost-driven trading environment, fund managers and buy-side traders are forced to watch every penny involved in transactions, and therefore the increased demand for computerised algorithms. Demand is not limited to mere post-trade Transaction Cost Analysis (TCA); therefore, pre-trade analytics are being used to cover a range of needs, for example, through the analysis of historical, current price and volume data, clients can determine where and when to send orders or realise lost opportunity costs.
Data quality discovery and profiling - Real-time monitoring and analyses for possible errors from upstream systems.
Data quality management, to continuously maintain the trustworthiness and standards of data.
Textual analysis techniques to extract sentiments from social media platforms.
Demonstrates certain forms of ML-based automated trading led to a change in knowledge risks, particularly concerning dramatically changing market settings, and that they are characterised by a lack of insight into how and why trading rules are being produced by the ML systems
It is recognized that the direct use of low-level market data in any type of model is not recommended because of heterogeneity, noise accumulation, spurious correlations, and incidental endogeneity. Despite the fact that machine learning techniques can deal with more features than traditional econometrics models, adding more predictors is not a guarantee for increasing the performance of the analysis

Trade Analytics Course Training Learning Outcomes

This course provides analytical skills to Identify different hidden patterns of data in better decision making. Machine Learning techniques and deep learning mechanisms are used for statistical analysis of data to make strategies in the stock market to analyse the next hour predictions. Also, Unsupervised or non-rules-based analyses driven by analytics technology can help in drawing new patterns and scenarios that are not up to the mark in traditional approach. Data Analytics will be beneficial as an extra layer for existing effort by enhancing statistical skill sets.
This course is designed as per the market trends which enhance the required skills. A lot of emphasis is given on topics using Time series forecasting, various kinds of Analytics, Applications of Data Optimization, and many more. The concepts are based on real-time use cases so that the participants can understand the exact work environment.

Engage with diverse data sources relevant to the trade industry
Utilize a range of tools and techniques to analyze both structured and unstructured trade data
Acquire knowledge of descriptive and predictive analytics specific to trade analysis
Leverage data-driven and machine learning methods for trade-related functions, such as forecasting market trends
Gain insights into survey methodologies and utilize analytics to derive meaningful information
Employ machine learning techniques to customize trade experiences for clients
Apply data visualization principles to effectively communicate and interpret trade data
Block Your Time
Trade Analytics course - 360digitmg

16 hours

Classroom Sessions

Trade Analytics course - 360digitmg

20 hours

Programming Videos

Who Should Sign Up?
  • Trade Engineers
  • Trade and Analytics Managers
  • Trade Analysts
  • Trade Engineers
  • Math and Science Graduates
  • Graduates Planning to Apply for Trade Jobs

Trade Analytics Course Modules

The digital world is built on the walls of data and this course is designed thinking about the future. Trade analytics is into all data and combining it to provide different strategies for predictive insights that can be used for better strategies in the stock market. In this module on Trade analytics course, you will learn about the various systems and machine learning models of Trade analytics course and how it helps in making strategies and predictions in buying or selling the trade or stocks in the market. You will also learn how Deep Learning is understanding the pattern from the data. Along with the various advanced Trade analytics techniques, you will also learn regarding Data Privacy and Security.

Understanding an overview of Data Analytics and their importance in the stream of Tradeulent detection using statistical analysis and also the vital role of data analytics in Trade detection using Artificial Intelligence and Machine Learning.

Understanding different stages of Analytics with the help of Mind map of Data science which includes understanding of data using graphical representation. Machine learning algorithms that help for data analytics followed with various error functions & the appropriate validation methodology helps in a strong foundation for the course.

Understanding Descriptive statistics with various Business moments decisions that are part of preprocessing will help you continue the course.

Understand K-Means clustering model which is Unsupervised Machine Learning model for Trade analytics for better predictions that gives a way to make different strategies.

Understanding Supervised Classification Machine Learning Model and their prerequisites that are important for Trade analytics to make strategies and take decisions for a trader.

Understand how the Supervised Machine learning Regression method deals with continuous data in analysing the trade data to predict the behaviour that leads to the better predictions.

Better Understanding of different Classification models in segmenting the trade data and their comparisons for better accuracy also helps in taking decisions.

With the basic knowledge of Deep learning and their methods for data analytics helps in making better predictions and decisions.

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Tools Covered
Trade Analytics course using python
Trade Analytics training using r programming
Trade Analytics training using r studio programming
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Trade Analytics Training program Panel of Coaches

Artificial Intelligence & Deep Learning Course Training -360digitmg

Bharani Kumar Depuru

  • Areas of expertise: Data analytics, Digital Transformation, Industrial Revolution 4.0
  • Over 18+ years of professional experience
  • Trained over 2,500 professionals from eight countries
  • Corporate clients include Deloitte, Hewlett Packard Enterprise, Amazon, Tech Mahindra, Cummins, Accenture, IBM
  • Professional certifications - PMP, PMI-ACP, PMI-RMP from Project Management Institute, Lean Six Sigma Master Black Belt, Tableau Certified Associate, Certified Scrum Practitioner, (DSDM Atern)
  • Alumnus of Indian Institute of Technology, Hyderabad and Indian School of Business
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Artificial Intelligence & Deep Learning Course Training -360digitmg

Sharat Chandra Kumar

  • Areas of expertise: Data sciences, Machine learning, Business intelligence and Data
  • Trained over 1,500 professional across 12 countries
  • Worked as a Data scientist for 18+ years across several industry domains
  • Professional certifications: Lean Six Sigma Green and Black Belt, Information Technology Infrastructure Library
  • Experienced in Big Data Hadoop, Spark, NoSQL, NewSQL, MongoDB, Python, Tableau, Cognos
  • Corporate clients include DuPont, All-Scripts, Girnarsoft (College-, Car-) and many more
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Artificial Intelligence & Deep Learning Course Training - 360digitmg

Bhargavi Kandukuri

  • Areas of expertise: Business analytics, Quality management, Data visualisation with Tableau, COBOL, CICS, DB2 and JCL
  • Electronics and communications engineer with over 19+ years of industry experience
  • Senior Tableau developer, with experience in analytics solutions development in domains such as retail, clinical and manufacturing
  • Trained over 750+ professionals across the globe in three years
  • Worked with Infosys Technologies, iGate, Patni Global Solutions as technology analyst
Read More >
Trade Analytics certification course - 360digitmg


Earn a Trade Analytics Course certificate and demonstrate your commitment to the profession. Use it to distinguish yourself in the job market, get recognised at the workplace and boost your confidence. The Data Science in Trade Analytics Course Certificate is your passport to an accelerated career path.

Alumni Speak

Pavan Satya

"The training was organised properly, and our instructor was extremely conceptually sound. I enjoyed the interview preparation, and 360DigiTMG is to credit for my successful placement.”

Pavan Satya

Senior Software Engineer

Chetan Reddy

"Although data sciences is a complex field, the course made it seem quite straightforward to me. This course's readings and tests were fantastic. This teacher was really beneficial. This university offers a wealth of information."

Chetan Reddy

Data Scientist

Santosh Kumar

"The course's material and infrastructure are reliable. The majority of the time, they keep an eye on us. They actually assisted me in getting a job. I appreciated their help with placement. Excellent institution.”

Santosh Kumar

Business Intelligence Analyst

Kadar Nagole

"Numerous advantages of the course. Thank you especially to my mentors. It feels wonderful to finally get to work.”

Kadar Nagole

Data Scientist

Gowtham R

"Excellent team and a good atmosphere. They truly did lead the way for me right away. My mentors are wonderful. The training materials are top-notch.”

Gowtham R

Data Engineer

Wan Muhamad Taufik

"The instructors improved the sessions' interactivity and communicated well. The course has been fantastic.”

Wan Muhamad Taufik

Associate Data Scientist

Venu Panjarla

"The instructors went above and beyond to allay our fears. They assigned us an enormous amount of work, including one very difficult live project. great location for studying.”

Venu Panjarla

AVP Technology


Our Alumni Work At

Our Alumni

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FAQs for Trade Analytics Training Program

If you miss a class, we will arrange for a recording of the session. You can then access it through the online Learning Management System.

Each classroom session is recorded on video and stored in our Learning Management System AISPRY. You will be assigned a dedicated login to AISPRY. You can access the video sessions from AISPRY.

After you have completed the classroom sessions, you will receive assignments through the online Learning Management System that you can access at your convenience. You will need to complete the assignments in order to obtain your data scientist certificate.

We assign mentors to each student in this program. Additionally, during the mentorship session, if the mentor feels that you require additional assistance, you may be referred to another mentor or trainer.

This Certificate is valid lifelong. 360DigiTMG has a pay once repeat many times offer on this course. You pay once for the course and can repeat it many times in the future for free. This helps you adapt to technological changes and software updates in the course of your career.

Jobs in the field of Analytics

Jobs in the field of Analytics

The Trade department plays a crucial role in bridging the gap between businesses and market trends. There are several positions available in an organization related to trade analytics, such as Trade Manager, Director of Trade Training and Development, Trade Analyst, Trade Relations Manager, Trade Recruiter, and more.

Salaries for Analytics Course

Salaries for Analytics Experts

A Trade analyst may have to wear many hats in an organization wherein they may be responsible to collect trade data, aggregate data, analyze trade data, and process data to deliver valuable insights. The average salary of a Trade analyst is 4,25,000 lakhs per annum in India.

Analytics Course Projects

Analytics Course Projects

The best way to build your knowledge is to work on live projects. There are various projects that one could venture into like Talent acquisition, employee career development, cybersecurity, retention, and compliance or studying the reason for the increased attrition rate in the company.

Role of Open Source Tools in Analytics Course

Role of Open Source Tools in Analytics

Programmers prefer open source tools because it helps them modify or improve upon the code. Many organizations have adopted tools of Analytics in a big way as they help them to analyze and visualize massive sets of Data. In this program, you will be exploring tools like R, RStudio, and Python.

Modes of Training for Analytics Course

Modes of Training for Analytics Course

The course in India is designed to suit the needs of students as well as working professionals. We at 360DigiTMG give our students the option of both classroom and online learning. We also support e-learning as part of our curriculum.

Industry Application of Analytics Course

Industry Application of Analytics Course

Analytics plays an integral role in making data-driven decisions and boosting ROI. Its applications are used in various fields of statistics, analysis, and employee-related factors like retention, workforce planning, employee development, engagement, and performance.

Companies That Trust Us

360DigiTMG offers customised corporate training programmes that suit the industry-specific needs of each company. Engage with us to design continuous learning programmes and skill development roadmaps for your employees. Together, let’s create a future-ready workforce that will enhance the competitiveness of your business.


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