Data Science For Beginners : Tableau And Python | Batch 2

Empower Your Data Journey From Scratch
 

  • Gain practical experience in Python and Tableau, essential tools for data analysis and visualization
  • STEM.org Accredited Certification
  • Unlock the ability to extract valuable insights from data, a crucial skill in today's data-driven world
  • Enhance your skillset and increase your employability in data-related roles
  • Apply your newfound skills to real-world projects and scenarios
Course Fee : ₹13000.00/-

About the course

Explore data science in its simplest form and unlock your potential to gain valuable insights from data. We'll walk you through the basics of Python programming and teach you how to create engaging visualizations with Tableau. We'll start from square one, ensuring that even those with no prior experience can begin this enlightening adventure.
Join us for this course designed with beginners in mind, and discover the incredible possibilities that data science offers. Don't miss this chance to kickstart your data-driven journey with the "Data Science for Beginners: Tableau and Python Course." Your future in data science begins right here. The subscribers can access the recorded video classes for a duration of six months after the LIVE sessions are concluded.

System Requirement

Laptop with Good Wifi Connection
 

Eligibility

Anyone interested in exploring data science and gaining insights from data can join the course

Class Timings

Date : 05th April 2024 - 26th April 2024
[20 Days ( No Classes on 13th & 14th )]

Time : 7:00 PM to 9:00 PM IST

Course Curriculum

Day 1&2
  • Introduction to Python and its IDE
  • Setting up Python environment (Google Colab)
  • Variables and their data types
  • Basic data operations
  • User input and output
  • Operators and expressions
  • Practice exercises
Day 3&4
  • Control Flow Statements
  • If, else, and elif statements
  • Loops: for and while loops
  • Loop control statements (break, continue)
  • Practice exercises
Day 5&6
  • Functions and Modules
  • Function definition and calling
  • Function parameters and return values
  • Importing modules
  • Creating and using your own modules
  • Practice exercises
Day 7&8
  • Strings and File I/O
  • String manipulation and methods
  • String formatting
  • Reading and writing text files
  • Handling exceptions
  • Practice exercises
Day 9&10
  • Lists, Tuples, and Dictionaries
  • Lists: Creating, indexing, and slicing
  • Tuples: Basics and immutability
  • Dictionary basics and operations
  • Sets and their operations
  • Practice exercises
Day 11&12
  • Object-Oriented Programming (OOP)
  • Classes and objects
  • Constructors and methods
  • Inheritance and polymorphism
  • Practical OOP examples
Day 13
  • Introduction to Pandas
  • Series and DataFrames
  • Data manipulation with Pandas
Day 14
  • Data Cleaning with Pandas
  • Handling missing data
  • Data transformation
Day 15
  • Data Analysis with Pandas
  • Data aggregation and grouping
  • Practice exercises
Day 16
  • Advanced Pandas
  • Merging and joining DataFrames
  • Time series data with Pandas
Day 17&18
  • Data Visualization (Using Python)
  • Introduction to Data Visualization
  • Understanding the importance of data visualization
  • Basic visualizations with Python libraries (e.g., Matplotlib, Seaborn)
Day 19
  • Data Visualization (Using Tableau)
  • Advanced Data Visualization
  • Creating interactive visualizations with Tableau
  • Practice and project on data visualization
Day 20
  • Capstone Project
     

Resource Person

Sujitha S Kurup

Sujitha S Kurup, a seasoned Senior AI Trainer at Unique World Robotics and a Ph.D. candidate at Narsee Monjee University in Mumbai, boasts a distinguished academic history. Her achievements include a gold medal in M.Tech from the same renowned institution. With six years as an Assistant Professor at Mumbai University, she has refined her skills as a technical trainer, adept at fostering collaboration among faculty, students, and administrators.

Noted for her exceptional communication skills and adept interpersonal finesse, she excels in creating engaging training materials and encouraging active participation. Sujitha's student-centered approach cultivates a positive learning environment, ensuring mastery of Core Python, supervised and unsupervised algorithms, computer vision, and other cutting-edge technologies. Her dedication to staying ahead of industry trends drives her to offer cutting-edge training solutions, leaving a lasting impression on both corporate and academic learners.

Knowledge Partners