Data Science - Python

Languages
English + Hindi + Gujarati + Telugu
Batch Size
20-25
Duration
60 hours
Investment
$$$$$
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Course Contents

  • Learn about foundation in data science, using a structured methodology. including working on exploratory data analysis, data wrangling and preprocessing
  • The learners will be able to build Supervised and Unsupervised Learning models using Python
  • Participants are required to work on minimum one project

  1. Statistics for Data Science
  2. Python for Data Analysis and Data Preprocessing
  3. Exploratory Data Analysis
  4. Python Libraries
  5. Matplotlib, Seaborn, Sklearn, Pandas, Numpy
  6. Machine Learning Algorithms using Python
  7. Supervised Learning
  8. Regression/Prediction and Classification models
  9. Logistics, KNN, Decision Trees, Random  Forest Naïve Bayes 
  10. Unsupervised Learning
  11. Clustering, Recommendation Engine
  12. K- Means, SVM, PCA
  13. Model Evaluation Techniques
  14. Model Improvement Techniques
  15. Model Deployment using Flask

Who Can Take This Course? Anyone and everyone who loves numbers and computer codes! From students to working professionals and data analysts and machine learning specialists, this course is open to all.

  • Basic computer skills 
  • An understanding of high school mathematics or statistics (don’t worry, it’s not as scary as it sounds!)
  • A strong zeal to learn and upskill yourself. Inquisitiveness and passion are the key!

Instructor Profile

instructor_image

Expert in Python, Anaconda, Orange, Data Science, Machine Learning, Deep Learning.

This course includes:

  • 100% Online Sessions
  • Instructor led
  • Customizable Syllabus
  • Customizable Schedule
  • Certificate of Completion
  • Training Recordings
  • Training Resources
  • Learner Assessment
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