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.
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.
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
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
FAQ
- Who is the target audience for the Dialog Data Science Academy?
- Top management
- Middle management
- Data science professionals
- Students
- What type of trainings are offered at Dialog Data Science Academy?
- Management awareness programs on data science and the applications of data science
- Advance Technical trainings for data science professionals
- Basic trainings / certification related to data engineering, data visualization, data modeling etc. for students / individuals interested in data science
- Where can I find the next Training program details?
Visiting Dialog Enterprise LinkedIn pages you can find out about upcoming training.
Click to Visit – Dialog Enterprise
- What should I do when I have queries or want more details?
Please write to datascience_academy@dialog.lk for any clarifications.