Learn Power BI

Discovering Data Analysis

In this module you will learn how to store, manipulate, and retrieve the data along with the advanced visualisation techniques using Matplotlib, Seaborn and Plotly. You will master converting the raw data into high order operations and perform analysis using NumPy and Pandas.

Understanding Machine Learning with Python

During this module you'll learn about linear algebra and calculus and their applications in Data Science, You'll also get a comprehensive understanding of Machine Learning, Linear Regression, Naïve Bayes and Support Vector Machine along with understanding the difference between Bagging and Boosting in Machine Learning.

Data Engineering

Discover the various elements of the Hadoop Ecosystem and how they can be used to solve Big Data problems. Understand how Relational Data Processing works in Spark and perform real-time Stream Processing using Apache Spark and with Amazon Kinesis. You will then get a thorough understanding of Spark SQL and Understand how to deploy Machine Learning models to make inferences using Amazon SageMaker.

Topic Covered

• Grasping Big Data Processing with Hadoop
• Discovering Streaming Big Data with Spark
• Mastering Streaming Big Data with Spark
• Mastering Machine Learning Model Deployment on Cloud

Tools Covered

• Hadoop
• Spark
• AWS

NLP and Deep Learning

This module strengthen your fundamentals of Natural Language Processing (NLP) and provides the hands-on experience with TextBlob and then Spacy. You will be performing sentimental analysis and creating chatbots and gain in depth understanding of Deep Learning, TensorFlow, and how Neural Networks work. You will also gain the exposure of understanding the application of AI in the real world.

Topics Covered

• Discovering NLP - Feature Extraction, Texblob, Spacy, Text Classification
• Grasping NLP - Sentiment Analysis and Chatbots
• Discerning Deep Learning with Keras and Tensorflow - Keras, Tensorflow and CNN
• Mastering Deep Learning with Keras and TensorFlow, Adv CNNs, NLP and GANs

Tools Covered

• Keras
• TensorFlow

Data Structures and Algorithms, with Career Support

Explore the fundamental techniques of Algorithm Analysis, Linked Lists and Binary Trees. You will also learn about the Advanced Data Structures and how to analyze the Asymptotic Performance of Algorithms. Learn Algorithmic Design Paradigms and Methods of Analysis and Microservices Architecture and its Implications.

Topics Covered

• Basic Techniques of Algorithm Analysis
• Linked Lists and Binary Trees
• Advanced Data Structures
• Analyze the Asymptotic Performance of Algorithms
• Algorithmic Design Paradigms and Methods of Analysis
• Microservices Architecture and its Implications