Data Science Academy

Data Science Academy provides data science-related training programs for corporates as a service. These training courses are designed using industry expertise to develop data science and analytical skills of the corporates which will help them to make strategic decisions by exploring their own data.


  • Management awareness programs to understand strategic values of using own data in data-driven decision making and get the best out of them.
  • Technical trainings for individuals who are into data science related job scopes enhancing their knowledge in learning new tools and concepts and make their business intelligence / analytics work easier.
  • Free assessment on current competencies related to data science culture in the organization and based on the assessment output offer a customized bundle of trainings to enhance each identified area.


  • Empowers professionals with data management technologies and data science concepts.
  • Added advantage for an improved and competitive career.
  • Better decision making with quantifiable evidence.
  • Connect with instructors and learners to share ideas, master concepts, and gain access to real-world best practices.

Training Programs

  • Data Engineering Foundation

    02 Days Duration
    • Building a Data-Driven Organization
    • Data Extraction, Preparation & Governance
    • Data Storage & Modeling
    • Business Intelligence using DataStudio
  • Modern Data Platforms (Azure)

    Day Duration
    • Iaas vs Paas vs SaaS
    • Load Data into Azure Synapse Analytics using Azure Data Factory Pipelines
    • Transform Big Data using Azure Data Factory Mapping Data Flows
    •  Explore Big Data using Azure Databricks
  • AI and Real-time Analytics (Cloud Based)

    04 Hour Duration
    • Add AI to your Big Data Pipeline with Cognitive Services
    • Ingest and Analyze real-time data with Event Hubs and Stream Analytics
  • Training on Data Models on Power BI & Data Analysis Expressions (DAX)

    01 Day Duration
    • Best practices & recommendation for Power BI data models
    • Introduction to DAX
    • Date & Time Functions
  • Data Analytics with Python

    40 Hour Duration
    • Basics of structural programming in Python
    • Data Handling using NumPy and Pandas
    • Machine Learning using Scikit-Learn
    • Data Analytics: Preprocessing, Cleaning, Integration, Reduction
    • Supervised Learning, Unsupervised Learning, Association Learning, Numerical Prediction
    • Big Data Analytics
  • Data and Machine Learning Fundamentals

    02 Days Duration
    • Understanding the Big Picture
    • Environment for Experiments
    • Just enough Python
    • Acquiring & Exporting Data
    • Basic Statistics
    • Pandas Basics
    • Data Visualization
    • Data Preparation for Machine Learning
    • Feature Engineering
    • Data Pipeline
  • Introduction to Machine Learning

    Hours Duration
    • Introduction, History, and Applications
    • Setting up a Computing Environment for hands-on exercises and projects
    • Knowledge Foundations (Computing, Statistics, and Mathematics)
    • Exploratory Data Analysis (EDA) and Feature Engineering
    • Supervised and Unsupervised Learning
    • Machine Learning Algorithms
  • Pragmatic Apache Spark Training

    7.5 Hours Duration
    • Getting Started with Big Data Journey
    • Resilient Distributed Dataset (RDD)
    • Structured Data Processing in Spark
    • Working with Data frames and Schemas
  • Thinking like a Data Storyteller

    02 Days Duration
    • Realm of Data
    • Understanding your Data
    • Introducing Big Data
    • Data Pre-Processing
    • Storytelling with Data
    • Designing Effective Visualization
  • Python Programming for Machine Learning – Kids Edition

    10 Weeks Duration
    • Create Python scripts to solve small problems
    • Use graphics to create fun programs
    • Create simple Python games
  • Pragmatic Apache Kafka Training

    16 Hours Duration
    • Apache Kafka Overview
    • Kafka Architecture
    • Kafka Producer side API
    • Kafka Consumer side API
    • Schema Registry
    • Kafka Integrations
    • Kafka Streams API
  • Getting Started with Docker

    7.5 Hours Duration
    • Course Overview and Getting Started with Docker
    • Working with Images
    • Containerizing an Application
    • Design and Implement Container Networking
    • Tooling for Enterprise Applications
  • Power BI Masterclass

    09 Hours Duration
    • Introduction
    • Your First Chart
    • Aggregations & Filters
    • Maps and Scatterplots
    • Creating an Interactive business Intelligence Report
    • Preparing Data with Power BI
    • Modeling the Data with Power BI
    • Visualize the Data with Power BI
    • Analyze the data with Power BI
    • Deploy and Maintain Deliverables
  • Visual Analytics with Tableau

    09 Hours Duration
    • Perform Tableau basics
    • Basics of creating Visualization
    • Perform table calculations
    • Join and blend data
    • Working with Parameters
    • Understand groups and sets
    • Different Visualization techniques
    • Basic Analytics with Tableau
    • Perform level of detail (LOD) calculations Dashboard layout techniques


Get in Touch
Talk to us about creating solutions that work for your business. Reach out with your requirement and our team will be in touch.
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