Data Science

About Course

Have you ever wondered how Amazon, eBay suggest items for you to buy? How Gmail filters your emails in the spam and non-spam categories? How does Netflix predict the shows of your liking? How do they do it? Data science is all about using data to solve problems. The core job of a data apply this in solving the problems. Data science is one of the hottest professions of the decade, and the demand for data scientists who can analyze data and communicate results to inform data driven decisions has never been greater.

This course provides you with the latest job-ready tools and skills, includng open source tools and libraries, Python, databases, SQL, data visualization, data analysis, statistical analysis, predictive modeling, and machine learning algorithms. You’ll learn data science through hands-on practce using real data science tools and real-world data sets.

Learn data science with python and implement various algorithms in machine learning and natural language processing concepts to understand and work on everything including big data, data visualization, forecasting and predictive modeling.

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What Will You Learn?

  • Learn the basics of high-level programming languages using a simple introduction into Python programming.
  • Understanding the various modules like NumPy, Pandas etc used in Data Science.
  • Learn to handle datasets with data preprocessing.
  • Get in depth knowledge about data analytics and evaluation.
  • Learn the various classification models and machine learning models.
  • Learn how to create dashboards, storytelling and deploying models.

Course Content

PYTHON PROGRAMMING

  • Introduction to Python
  • Objects and Data Structure
  • Statements in Python
  • Functions in Python
  • Modules and Packages

NECESSARY MODULES FOR DATA SCIENCE

DATA PREPROCESSING

EDA (EXPLORATORY DATA ANALYSIS)

MODELING (MACHINE LEARNING MODELS)

EVALUATION

DASHBOARD STORYTELLING, MODEL DEPLOYMENT

PROJECT