Welcome to Ancla Academy of Analytics - Knowledge Bank of Healthcare & Life Sciences
Best Seller

Python Certification Training for Data Science

Perfect course for beginners who wants to enter the programming world. Its a simple yet powerful language which allows you to create simple scripts to automate processes from complex applications. Enroll for this program today and "Get ready to fall in love with python"

20th Feb Sat & Sun(5 Weeks) Timings : 08:30 PM - 11:30 PM (IST) Action
Mar 03th Sat & Sun(5 Weeks)
Weeked Batch
Timings : 08:30 PM - 11:30 PM (IST)
Mar 07th Sat & Sun(5 Weeks)
Weeked Batch
Timings : 08:30 PM - 11:30 PM (IST)
Mar 12th Sat & Sun(5 Weeks)
Weeked Batch
Timings : 08:30 PM - 11:30 PM (IST)

Course Price

35,000.00

Course Details

  • Introduction to Big Data and Data Science Fundamentals
  • Data Science Life Cycle
  • Data scientist Role and Responsibilities
  • Molecular Biology, Including Genomic & Proteomics
  • General Biochemistry
  • Human Physiology & Anatomy: Major Systems
  • General Pathology
  • General Microbiology
  • General Pharmacology
  • Public Health – Epidemiology
  • GxP Regulation
  • Drug Development including Biosimilars
  • Pharmacovigilance & Toxicology
  • Clinical Data Management including programming & Biostats
  • Pharmaceutical Brand Management
  • Hospital Systems & Management
  • Health Economics & Outcome Research
  • Health Policy: A Global Perspective
  • Introduction to Data
  • Types of Data: A Healthcare and Life Sciences Perspective
  • Characteristics of Big data
  • Data Pre-Processing
  • Data Classifications
  • Introduction to Statistics
  • Descriptive Statistics
  • Prescriptive Statistics
  • Measures of Central Tendency
  • Distribution
  • Hypothesis Testing
  • Analysis of Variance
  • Probability
  • Summary of statistics
  • Data transformations
  • Outlier detections and management
  • Charts and graphs
  • Two dimensional and multidimensional charts

“Design thinking is a human-centered approach to innovation that draws from the designer's toolkit to integrate the needs of people, the possibilities of technology, and the requirements for business success.” -Tim Brows

  • Running Python
  • Hello, World!
  • Literals
  • Python Comments
  • Data Types
  • Variables
  • Writing a Python Module
  • print() Function
  • Named Arguments
  • Collecting User Input
  • Getting Help
  • Defining Functions
  • Variable Scope
  • Global Variables
  • Function Parameters
  • Returning Values
  • Importing Modules
  • +
    Math

    • Arithmetic Operators
    • Modulus and Floor Division
    • Assignment Operators
    • Built-in Math Functions
    • The Math Module
    • The Random Module
    • Seeding
    • Quotation Marks and Special Characters
    • String Indexing
    • Slicing Strings
    • Concatenation and Repetition
    • Common String Methods
    • String Formatting
    • Built-in String Functions
    • Definitions
    • Sequences
    • Unpacking Sequences
    • Dictionaries
    • The Len() Function
    • Sets
    • Condition Statements
    • The is and is not operators
    • Python’s Ternary Operator
    • Loops in Python
    • The Enumerate() Function
    • Generators
    • List Comprehensions
    • Opening Files
    • The os and os path Modules
    • Wildcard Except Clauses
    • Getting Information on Exceptions
    • The else Clause
    • The finally Clause
    • Using Exceptions for Flow Control
    • Exceptions Hierarchy
    • Understanding Time
    • The Time Module
    • The datetime Module

    Course Certification