Equip your employees with the latest, in-demand skills
Our data science Corporate Training aims at equipping businesses with the analytical and technical abilities so that they can work more efficiently, produce better results, and make informed decisions, driven by data. With us, you can learn how to classify, process, and analyze data from scratch, build innovative data products, and streamline your operations using machine learning and data engineering methods.
Data Literacy For Executives And Managers
Gain a high-level understanding of the analytics workflow, analytic techniques, and cognitive biases. Learn about tools and techniques for creating visualizations and interpreting data as well as limitations and ethical issues surrounding big data analysis.
Data Science With Python
Learn how to analyze and extract insights from data using one of the most popular tools for data analysis today. Gain hands-on experience programming with Python and familiarity with Python’s syntax, data structures, control flow, and data analysis libraries. Learn to build and implement appropriate data science models using Python to solve business problems.
Deep Learning With Python
Deep learning is the most interesting and powerful machine learning technique currently. Top deep learning libraries are available on the Python ecosystem like Theano and TensorFlow. Tap into their power in a few lines of code using Keras, the best-of-breed applied deep learning library. Learn exactly how to get started, understand all the concepts and building blocks, and apply deep learning to your own machine learning projects.
Programming For Analytics With R
Learn how to import, manipulate, and analyze data with R – a powerful, open source statistical programming language. Gain hands-on experience programming with R in addition to performing data exploration, visualization, and machine learning on real-world data sets.
Data Engineering With Python
Learn how to ingest, clean, model, and store large volumes of data acquired from the web. Develop the ability to create and manage big data pipelines, set up analytics infrastructure, and learn how to select the right technologies for the problem at hand.
Microsoft Power BI: Visualization And Story Telling
Gain hands-on experience creating reports, visualizations, and dashboards with Microsoft Power BI. Learn how to connect to different data sources, model your data, create custom visualizations and dashboards, and share and collaborate on reporting
Machine Learning With Python Or R
Learn the concepts of programming language like sequences, file operations, object-oriented concepts and some of the widely used libraries which include pandas, numpy, matplotlib, Scikit learn, etc. and gradually converge towards machine learning and its detailed mechanism including supervised, unsupervised and reinforcement learning including dimensionality reduction techniques. Learn the techniques of machine learning and its implementation in Python or R programming language. Furthermore, gain an understanding of reinforcement learning which in turn is an important aspect of Artificial Intelligence. Time series analysis will also be covered towards the end of the Corporate Training program.
Tableau: Visualization And Story Telling
Gain hands-on experience creating reports, visualizations, and dashboards with Tableau. Learn how to connect to different data sources, model your data, create custom visualizations and dashboards, and share and collaborate on reporting.
Advanced Analytics With Excel
Go beyond the basics and master business analytics with Excel. Learn how to clean and manipulate raw data, apply analytic techniques to visualize complex data sets, solve optimization problems via linear programming, and automate analysis and reporting with macros. Implement regression and classification algorithms using Excel.
Big Data Analytics
Learn about the opportunities and challenges that come with analyzing very large data sets. Gain a comprehensive overview of the Hadoop ecosystem as well as hands-on experience analyzing data and performing machine learning with MapReduce, Spark, and other big data technologies.
NLP & Text Analytics With Python
Learn how to computationally read, preprocess, and analyze text data using Python libraries like NLTK, gensim, spacy, and more. Gain hands-on experience with corpus-building, tokenization, part-of-speech tagging, information extraction, topic modelling, text classification, and document clustering. Implement these tools for various applications starting from sentiment analytics to building bots.
Network Analysis With Python
Learn how to identify connections between entities and analyze the relationships those connections represent. Gain experience traversing and querying graphs, clustering to identify communities, creating network visualizations, and generating predictions from network data.
Advanced Programming Using SAS
Learn about accessing data using SQL, Macro Processing, and advanced programming techniques.
Base Programming Using SAS
Learn to access data, create data structures, manage data, and generate reports and handle errors.
Learn how to take a data-driven approach to manage people at work. Learn to conduct data cleaning and analysis with datasets using MS Excel. Depending upon your role in HR, you can choose from understanding the implementation of HR analytics and data driven HR practices, or get an all-round analytics skillset that will help you drive data-driven decision making throughout HR. Learn practical data-analysis skills and learn to extract, clean, merge and analyze HR data. Also learn to develop, implement and align HR Metrics with the overall business strategy.