Data Science Academy

Our primary objective is to assist in building data science and analytical skills of organizations with in-depth and interactive training programs using industry expertise. Organizations can be benefitted by establishing data-driven decision making and enhance performance.

Features

  • 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.

Benefits

  • 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.

Packages

  • 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)

    01 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

    60 Hour 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
  • 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

FAQ

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.
Contact Form