Analysing Financial Data in Excel Training Course

This instructor-led, live training in India (online or onsite) is aimed at intermediate-level advanced R users who wish to use R to build faster workflows, improve code quality, and handle more complex analysis tasks.

By the end of this training, participants will be able to: create reusable functions, improve data workflows, debug and optimize code, and produce reproducible reports.

This instructor-led, live training in India (online or onsite) is designed for business analysts who wish to automate trading using algorithmic trading, Python, and R.

By the end of this training, participants will be able to:

• Employ algorithms to buy and sell securities at specialized increments rapidly.
• Reduce costs associated with trade using algorithmic trading.
• Automatically monitor stock prices and place trades.

The term 'Big Data' encompasses solutions designed for the storage and processing of extensive data sets. Initially developed by Google, these Big Data solutions have evolved and inspired numerous similar projects, many of which are available as open-source software. R is a widely adopted programming language within the financial industry.

This instructor-led live training in India (online or onsite) is tailored for beginner-level data analysts who aim to utilize R programming for data manipulation, basic data analysis, and creating compelling visualizations to uncover insights.

By the conclusion of this training, participants will be able to:

• Understand the basics of R Programming.
• Apply fundamental data science processes.
• Create visual representations of data.

This instructor-led live training in India (online or onsite) is aimed at data analysts who wish to program with R in SAS for cluster analysis.

By the end of this training, participants will be able to:

• Use cluster analysis for data mining.
• Master R syntax for clustering solutions.
• Implement hierarchical and non-hierarchical clustering.
• Make data-driven decisions to help to improve business operations.

In the modern business landscape, data analytics serves as an essential asset. This course places a strong emphasis on cultivating practical, hands-on skills for effective data analysis. Our primary objective is to empower participants to provide evidence-based responses to key business inquiries:

What has occurred?

• processing and interpreting data
• creating insightful data visualizations

What is likely to occur?

• predicting future performance
• assessing the accuracy of forecasts

What ought to occur?

• translating data into evidence-driven business decisions
• refining and optimizing business processes

This instructor-led, live training in India (online or onsite) targets beginner-level professionals who want to clean and analyze data, make statistical forecasts, and generate insightful visualizations using these tools.

Upon completing this training, participants will be able to:

• Grasp the fundamentals of Python, R, Power Query, and Power BI for data analysis.
• Clean and organize datasets using Python and Power Query.
• Conduct statistical analysis and forecasting using R.
• Design professional dashboards and reports with Power BI.
• Effectively integrate and analyze data from various sources.

R is a widely used, open-source environment designed for statistical computing, data analytics, and graphics. This course introduces students to the R programming language, covering fundamental language features, essential libraries, and advanced concepts. Participants will learn advanced data analytics techniques and graphing methods using real-world datasets.

Audience

Developers and data analytics professionals

Duration

3 days

Format

Lectures and hands-on practice

This instructor-led, live training in India (online or onsite) caters to individuals keen on mastering the fundamentals of econometric analysis and modeling.

By the conclusion of this training, participants will be able to:

• Learn and comprehend the basics of econometrics.
• Utilize Eviews and risk simulators.

This instructor-led, live training in India (online or onsite) is aimed at intermediate-level data analysts and business professionals who wish to perform time series forecasting and automate data analysis workflows using R.

By the end of this training, participants will be able to:

• Understand the fundamentals of forecasting techniques in R.
• Apply exponential smoothing and ARIMA models for time series analysis.
• Utilize the ‘forecast’ package to generate accurate forecasting models.
• Automate forecasting workflows for business and research applications.

This instructor-led live training in India (online or onsite) is designed for data scientists who wish to program using Python and R for KNIME.

By the end of this training, participants will be able to:

• Plan, build, and deploy machine learning models in KNIME.
• Make data driven decisions for operations.
• Implement end to end data science projects.

Unstructured data, particularly in text format, is estimated to constitute over 90% of all data generated today. This vast amount of information is continuously expanding through blog posts, tweets, social media interactions, and various other digital publications.

This instructor-led, live course focuses on extracting meaningful insights from this data. By leveraging the R programming language alongside Natural Language Processing (NLP) libraries, we integrate principles from computer science, artificial intelligence, and computational linguistics to algorithmically decipher the context within text data. Data samples can be customized in multiple languages based on specific customer requirements.

Upon completion of this training, participants will be equipped to prepare datasets (both large and small) from diverse sources and apply appropriate algorithms to analyze and report on their significance.

Format of the Course

• A blend of lectures, discussions, and extensive hands-on practice, supplemented by occasional tests to assess understanding.

In this instructor-led, live training, participants will learn advanced techniques for Machine Learning with R as they step through the creation of a real-world application.

By the end of this training, participants will be able to:

• Understand and implement unsupervised learning techniques
• Apply clustering and classification to make predictions based on real world data.
• Visualize data to quickly gain insights, make decisions and further refine analysis.
• Improve the performance of a machine learning model using hyper-parameter tuning.
• Put a model into production for use in a larger application.
• Apply advanced machine learning techniques to answer questions involving social network data, big data, and more.

R is a widely adopted programming language within the financial sector. It supports financial applications spanning from core trading systems to robust risk management platforms.

In this instructor-led live training, participants will learn how to leverage R to create practical applications that address specific finance-related challenges.

Upon completion of this training, participants will be able to:

• Grasp the core fundamentals of the R programming language
• Choose and employ R packages and techniques to organize, visualize, and analyze financial data from diverse sources (CSV, Excel, databases, web APIs, etc.)
• Develop applications that solve problems related to asset allocation, risk analysis, investment performance, and more
• Troubleshoot, integrate, deploy, and optimize an R application

Audience

• Developers
• Analysts
• Quants

Format of the course

• A mix of lectures, discussions, exercises, and extensive hands-on practice

Note

• This training focuses on providing solutions for key problems encountered by finance professionals. If you have a specific topic, tool, or technique you wish to add or explore in greater depth, please contact us to arrange for customization.