DATA SCIENCE

Categories: Software IT
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About Course

Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from noisy, structured and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains.

Data science can be defined as a blend of mathematics, business acumen, tools, algorithms and machine learning techniques, all of which help us in finding out the hidden insights or patterns from raw data which can be of major use in the formation of big business decisions.

Course Curriculum

INTRODUCTION TO DATA SCIENCE AND MACHINE LEARNING IN PHARMA

DATA SCIENCE

MACHINE LEARNING

WHAT IS DATA SCIENCE?

WHY DATA SCIENCE FOR PHARMA?

KEY USES IN PHARMA

  • Accelerate drug discovery and development
  • Improve safety and risk management
  • Machine Learning for Clinical Studies and R&D
  • Target specific patient populations more efficiently
  • Better insight into patient journey and patient Behavior
  • Improve the efficacy of clinical trials
  • Gain deeper insight into sales and marketing performance

PROGRAM BENEFITS

  • India’s Best Short-Term Pharma Analytics Program
  • Systematic Learning
  • Amazing Projects
  • IBM Certificate
  • Continuous Learning
  • Stay Connected

WHY ANALYTIX PRO

PYTHON ESSENTIALS FOR DATA SCIENCE

  • Python Fundamentals and Programming
  • Data Handling with NumPy and Pandas
  • Data Visualization with Matplotlib
  • Advanced Plotting with Seaborn

STATISTICS FOR DATA SCIENCE

  • Introduction to Statistics for Data Science
  • Exploratory Analysis and Distributions
  • Extract Transform and Analyze Data
  • Advanced Data Preprocessing with Stats

DATA SCIENCE & APPLIED MACHINE LEARNING

  • Machine Learning (ML) for Pharma
  • ML Regression and Classification Algorithms
  • ML Advanced Algorithms & Techniques
  • Deep Learning and Neural Networks
  • Applications of ML in Bigdata, Could Computing etc.

CAPSTONE PROJECTS

  • Drug Discovery
  • COVID 19 Image Classification
  • User Ads Click Prediction
  • Customer Retention
  • Sales Data Analysis and Forecasting
  • Customer Support Chatbot
  • Employee Performance Analysis
  • Cancer Detection
  • USP Drug Classification
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