Course-1 : Certification program in Data Analytics
Welcome to the world of data analytics, where your interesting journey would comprise of data extraction from various sources, data transformations using SQL programming and Python programming, and visualizing the data using storytelling dashboards, created using MS Excel, Python, Power BI and Tableau, for garnering insights out of it.
This program starts from the very basic level with analytics using Microsoft Excel, has a focus on SQL programming, teaches python programming required for data analytics, and goes all the way up in teaching data storytelling. The detailed course content is shown below.
Course Details
Data Analytics using MS Excel : Functions and Formulas
Data Analytics using MS Excel : Storytelling Dashboards
Introduction to RDBMS and SQL programming
Introduction to Python programming for Data Analytics
Exploratory Data Analysis in Python
Data Visualization in Python
Data Storytelling (Data Visualization) using multiple tools
Course-2 : Certification program in Data Science
Master the nuances of Data Science and become a trained data scientist in. This certification course is ideal for people with zero technical background, and no background in the field of data or coding/programming experiences. Delve into the world of AI/ML.
This program starts from the very basic level and teaches python programming required for data science, and goes all the way up in teaching the basics of deep learning. The detailed course content is shown below.
Course Details
Introduction to RDBMS and SQL programming
Introduction to Python programming for Data Science
Statistics for Data Science
Introduction to Machine Learning (ML)
ML algorithms - Regression, Classification; Supervised and Unsupervised
Time Series Models
Natural Language Processing (NLP)
Introduction to Deep Learning
Data Storytelling (Data Visualization)
Machine Learning
Deep Learning
Natural Language Processing
Time Series
Course-3 : Certification program in Data Engineering
In today's data-driven landscape, Data Engineering, coupled with expertise in cloud technologies, stands out as an indispensable skill set. As organizations amass vast amounts of data, skilled data engineers play a pivotal role in designing robust data architectures, ensuring efficient data processing, and facilitating seamless data integration. This proficiency is not only critical for maintaining data quality and reliability but is also a strategic asset for companies striving to derive actionable insights and make informed decisions.
As enterprises increasingly leverage cloud platforms for scalable and cost-effective data solutions, skilled Data Engineers play a crucial role in architecting, optimizing, and managing data workflows in the cloud. Proficiency in cloud-based data technologies not only ensures agility and scalability but also aligns with the growing demands of the job market.
This program teaches you all the nuances of Data Warehousing, ETL, ELT, Cloud Systems, Data Pipelines etc. The detailed course content is shown below.
Course Details
Python for Data Engineering
Introduction to Data Engineering
Database Technologies (SQL and NoSQL databases) and Data Warehousing
Introduction to Data Modelling
Programming on both SQL and NoSQL Databases
ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform)
Cloud Ecosystems (AWS/Azure/GCP) with Cloud Data Warehousing (Snowflake)
Cloud Native Services
Solution Deployment in Cloud Ecosystems
Bigdata Technologies for Distributed Processing (Spark, PySpark)
Key Elements of Data Engineering such as : Data Integration, Data Migration, Data Quality & Governance, Data Pipelines (Batch vs Real Time), Streaming Data Processing, Scheduling & Orchestration
Docker & Containerization
Use of GIT for version control
