Data Scientist


All successful participants will be provided with

• Certification of Completion from AVIT
• Exposure on Real Time Projects.
• Global Certifications to boost-up Resume


How is Data transforming our world?

In today’s evolving business environment, data is everything. A famous quote by Jeff Weiner emphasizes the power of data- “Data really powers everything that we do”. The democratization of data is transforming our world. Sensors are everywhere. Cities are measuring and acting upon a wide variety of data sources. Governments at all levels are opening their data to their citizens. Old businesses are being transformed by data. Anyone with a smartphone now carries with them a sensor platform generating data.

Why become a Data Scientist?

As data roles continue to grow and expand within enterprises. Thousands of companies need team members who can transform data sets into strategic forecasts. Organizations big and small need experts who can make sense of the data and learn from it. Acquire in-demand data science and Python skills and meet that need. Demand for data analysts has shot through the roof over the last 5 years. Data coming in from the Internet of Things and advances in cloud computing, global data storage is set to grow from 45 zettabytes to 175 zettabytes by 2025.
Data science salary is quite lucrative and that is why many young IT aspirants are choosing data science as their career option.

Who should attend this Program?

Designed for students/ working professionals, fresh graduates, self-starters, and career transformers with essential work experience.

  • Engineers
  • Freshers
  • Marketing & Sales Professionals
  • Software & IT Professionals

Course Curriculum

  • Basics of AI
  • Machine Learning
  • Deep Learning
  • Natural Language Processing
  • Computer Vision
  • Cloud Computing
  • Python {NumPy, Pandas, Matplotlib}
  • Additional Topic: Operating System
  • Data Collection
  • Business Intelligence
  • Data Wrangling
  • Exploratory Data Analysis
  • Python Lab {Pandas Adv, Tableau, Excel}
  • MySQL Labs
  • Additional Topic: Virtualization
  • Data Visualization
  •  Probability and Statistics
  • Machine Learning Approaches
  • Predictive Analysis
  • Python Lab{ Sklearn, Keras, TensorFlow}
  • Additional Topic: Networking
  • Azure Fundamentals
  • Model Training
  • Pipelines
  • MLOps
  • Corporate Job Descriptions
  • Azure Hands-on Lab
  • Additional Topic: Cloud


There are no reviews yet.

Be the first to review “Data Scientist”

Your email address will not be published. Required fields are marked *