Data Analysis with Python - Course Curriculum

  1. Statistics
  2. Probability
  3. Linear Algebra
  4. Calculus
  1. Basics
  2. Control Flow and Iterations
  3. In-built Data Structures
  4. Functions
  5. Exception handling
  6. File handling
  7. Classes in Python
  8. Numpy
  9. Matplotlib
  10. Pandas
  1. Introduction
  2. Types of data and extraction
  3. Raw & Processed data
  4. ED Analysis
  5. Types of Machine learning :-
    1. Supervised
      1. Regression
      2. Classification
    2. Unsupervised
      1. Clustering
    3. Linear Regression
    4. Cost Function and Optimization(Gradient Descent)
    5. Logistic Regression
    6. KNN
    7. Decision Trees
    8. Model Selection
      1. Over Fitting & Under Fitting
      2. Regularization: Ridge and Lasso
      3. Feature Engineering
      4. Cross Validation
      5. Normalization & Standardization
      6. Hyper Parameter Tuning
      7. Accuracy Metrics ( Confusion matrix, F1 score, ..)
    9. Support Vector Machine (SVM)
    10. Gradient Boosting
    11. Extreme Gradient Boosting & XG boost
  1. Introduction and overview
  2. Installation
  3. Connecting to data
  4. Working with files vs servers
  5. Analysis
  6. Calculated fields
  7. Formatting visualization
  8. Building interactive dashboard
  9. Publishing workbook
  10. Scenario based exercise


Exploratory Data Analysis
Drone Delivery Data

The dataset contains drone delivery system data which has various columns. The project aims at understanding the data by exploratory analysis, find patterns, correlations, data cleaning task to find and fix the errors.

Data Extraction

The project aims at extracting data from various sources, clean the dataset and combine the data into one single format as per the requirement.

Predicting House Prices

House price prediction
The set contains features such as number of bathrooms, age of house,etc which affect the house price. Machine learning algorithms are used to determine the price of house which is the target variable. This will help both buyers and sellers of house to determine the price based on set of features.

Why Netzwerk Academy ?

  1. Online Practical on Google Co-Lab and Tableau
  2. INTERACTIVE live sessions
  3. Resume & employment portals optimization
  4. Our association with will help you fetch more job interviews




  • Dedicated team will be providing job application links in your Talent pool portal.
  • Employment portal optimization will be taught to fetch you the interviews (, LinkedIn +3 other portals)


Data Analysis with Python – 3.5 Months


Data Analysis with Python – Rs. 27,730 (Incl. Of taxes)

  • Pay 15% registration fees, in the beginning