Data science

Data science is an interdisciplinary field focused on extracting knowledge and insights from structured and unstructured data using scientific methods, processes, algorithms, and systems. It combines principles and techniques from various disciplines including statistics, computer science, domain expertise, and information technology to analyze and interpret complex data.

Become a certified
Data Scientist today!

10 + 1 live & capstone project

Weekly tasks and reports

36+ hours of video content

Co-Brand Certificate

Why WogleTech?

Unlock Your Future: Build a Secure Career with WogleTech’s Cutting-Edge Resources and Transformative Learning Experiences

Students
0 k+
Salary Range
5L - 5 L
Hiring Partners
0 +
Industry Mentors
0 +
Career Support
1: 1
Interview Coding Questions
0 +

Why WogleTech?

Unlock Your Future: Build a Secure Career with WogleTech’s Cutting-Edge Resources and Transformative Learning Experiences

NOW OR NEVER

Students
0 k+
Salary Range
5L - 5 L
Hiring Partners
0 +
Industry Mentors
0 +
Career Support
1: 1
Interview Coding Questions
0 +

Program Details

36+

Hours of Learning

10+

Assignments & Mock Tests

3

Industry Projects

  • DS in Industry
  • DS Paradigms
  • Job opportunities in DS
  • DS Applications

  • Jupyter Notebook
  • Google Colab

  • Data Types
    • Numbers, Strings
    • Lists
    • Tuples
    • Sets
    • Dictionaries
  • Comparison Operators
  • If, elif, else statements
  • range()
  • loops

  • Classes and Objects
  • Methods

  • High-level Introduction
  • Pandas
  • Numpy
  • Matplotlib
  • Seaborn
  • Scikit learn
  • Tensorflow
  • Pytorch
  • NLTK

  • Numpy Array
  • Numpy Indexing and Selection
  • Numpy Operations
  • Numpy Exercises

  • Series
  • Dataframes
  • Data Input and Output
  • Handling Missing Data
  • Group By
  • Merging Dataframes
  • Pandas Exercises
  • Pandas Operations

  • Histogram
  • Line Plot
  • Scatter
  • Pie

  • Basic Plotting
  • Scatter plot
  • Bar Chat
  • Histogram
  • Box Plot
  • KDE Plot
  • Matplotlib Exercises

  • Types of Machine Learning
    • Supervised
    • Unsupervised
    • Semi-Supervised
    • Reinforcement
  • Features and Labels/Targets
  • Training, Testing, and Validation Data

  • Regression
  • Classification

  • Linear Regression
  • Logistic Regression

  • KNN
  • Decision Tree
  • Random Forest
  • Support Vector Machines

  • Regression Metrics
    • MAE
    • MSE
    • R-squared
    • Adjusted R-squared
  • Classification Metrics
    • Confusion Matrix
    • Accuracy
    • Precision
    • Recall
    • F1-score

  • Clustering
  • Dimensionality Reduction

  • K-means
  • DBSCAN

  • Hierarchical Clustering

  • Elbow method
  • Silhouette Score

Real-World Industry Projects

Get exposure to a compilation of industry-standard projects to showcase the practical application of your skill sets to build & boost your project portfolio.

Project 01: Lorem ipsum dolor sit amet

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Project 02: Lorem ipsum dolor sit amet

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Project 03: Lorem ipsum dolor sit amet

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Certification

Program Fee

Data Science

Data science is an interdisciplinary field focused on extracting knowledge and insights from structured and unstructured data using scientific methods, processes, algorithms, and systems. It combines principles and techniques from various disciplines including statistics, computer science, domain expertise, and information technology to analyze and interpret complex data.

₹8,500 (Incl. Taxes)

Skillset's
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