Data Science Course Curriculum

Data Science

Data Science is a highly in-demand field that has grown 45% in the last year alone. According to article on Hindu Business Line there are 97,000 job positions left vacant in India.

SILAN Technology is a leading training institute specializing in Data Science with Python certification course. Designed by industry experts, the course is aligned with the latest best practices to transform you into Data Scientiest / Data Analyst / Data Engineer. You’ll learn Data Science with Python concepts in detail and implement many Machine Learning and deep learning algorithms, build artificial neural networks, and traverse layers of data abstraction to understand the power of data and prepare you for an exciting career in Data Science.

Contact us today to start your journey into the world of Data Science.

Data Science Course Overview

Learn how to use Pandas, NumPy, Matplotlib, Scikit-Learn, Seaborn , Plotly , Machine Learning, and many more!

Data Science Course Curriculum

  • Python pandas Tutorial
    1. What is pandas?
    2. Series in detail
    3. Basic operations on series
    4. Data Frame in detail
    5. Basic operations on data frame
    6. File related operations on data frame
    7. Visualization
    8. Practice examples
  • Python numpy Tutorial
    1. What is numpy?
    2. How to install and import numpy?
    3. Numpy Array
    4. Numpy array vs. Python list
    5. Basics of Numpy
    6. Range and arrange functions
    7. Numpy string functions
    8. Array Manipulations
    9. Numpy Arithmetic Operations
    10. Slicing Arrays
    11. Iterating over arrays
    12. Splitting arrays
    13. Other functions in numpy
    14. Practice Examples
  • Python matplotlib Tutorial
    1. What is matplotlib?
    2. Types of plots
    3. Plotting graphs and subgraphs
    4. Graph parameters:-title,lebel,legend
    5. Line graphs-line types, color and transparency
    6. Canvas grid and axis range
    7. 2D plots-scatter, step, bar, fill_between
    8. Radar chart, Histogram
    9. 3D surface image
    10. Practice Examples
  • Python seaborn Tutorial
  • Python scikit-learn Tutorial
  • Machine Learning Tutorial
    1. What is machine learning?
    2. Types of machine learning
      1. What is regression?
      2. Linear Regression Algorithm
      3. What is classification?
      4. Logistic Regression Algorithm
      5. Decision Trees
      6. Support Vector Machine
      7. Projects
  • Unsupervised machine learning tutorial
    1. Clustering in detail
    2. K-means Clustering Algorithm
    3. Association in detail

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