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Data Science With Python Training

Data Science with Python Training in Mumbai will make your career a new height. We at Wings Academy provide you an excellent platform to learn and explore the subject from industry experts. We help students to dream high and achieve it. Learn how to use Data Science with Python from beginner level to advanced techniques which are taught by experienced working professionals. With our Data Science with Python Training in Mumbai, you’ll learn concepts at an expert level in a practical manner. Get enrolled for the most demanding skill in the world.


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DATA SCIENCE WITH PYTHON TRAINING SYLLABUS


Introduction to Data Science


  • What is Data Science?
  • What is Machine Learning?
  • What is Deep Learning?
  • What is AI?
  • Data Analytics & it’s types

Introduction to Python


  • What is Python?
  • Why Python?
  • Installing Python
  • Python IDEs
  • Jupyter Notebook Overview

Python Basics


  • Python Basic Data types
  • Lists
  • Slicing
  • IF statements
  • Loops
  • Dictionaries
  • Tuples
  • Functions
  • Array


Python Packages


  • Pandas
  • Numpy
  • Sci-kit Learn
  • Mat-plot library

Importing data


  • Reading CSV files
  • Saving in Python data
  • Loading Python data objects
  • Writing data to csv file

Manipulating Data


  •  Selecting rows/observations
  • Rounding Number
  • Selecting columns/fields
  • Merging data
  • Data aggregation
  • Data munging techniques

Statistics Basics


  • Central Tendency
  • Mean
  • Median
  • Mode
  • Skewness
  • Normal Distribution
  • Probability Basics
  • What does mean by probability?
  • Types of Probability
  • ODDS Ratio?
  • Standard Deviation
  • Data deviation & distribution
  • Variance
  •  Bias variance Trade off
  • Underfitting
  • Overfitting
  • Distance metrics
  • Euclidean Distance
  • Manhattan Distance
  • Outlier analysis
  • What is an Outlier?
  • Inter Quartile Range
  • Box & whisker plot
  • Upper Whisker
  • Lower Whisker
  • catter plot
  • Cook’s Distance
  • Missing Value treatments
  • What is a NA?
  • Central Imputation
  • KNN imputation
  • Dummification
  • Correlation
  • Pearson correlation
  • Positive & Negative correlation
  • Error Metrics Duration-3hr
  • Classification
  • Confusion Matrix
  • Precision
  • Recall
  • Specificity
  • F1 Score
  • Regression
  • MSE
  • RMSE
  • MAPE

Machine Learning


Supervised Learning


  • Linear Regression
  • Linear Equation
  • Slope
  • Intercept
  • R square value
  • Logistic regression
  • ODDS ratio
  • Probability of success
  • Probability of failure
  • ROC curve
  • Bias Variance Tradeoff

Unsupervised Learning


  • K-Means
  • K-Means ++
  • Hierarchical Clustering

Other Machine Learning algorithms


  • K – Nearest Neighbour
  • Naïve Bayes Classifier
  • Decision Tree – CART
  • Decision Tree – C50
  • Random Forest

TARINER PROFILE OF DATA SCIENCE WITH PYTHON TRAINING

Our Trainers provide complete freedom to the students, to explore the subject and learn based on real-time examples. Our trainers help the candidates in completing their projects and even prepare them for interview questions and answers. Candidates are free to ask any questions at any time.


  • • More than 10+ Years of Experience.
  • • Strong Theoretical Practical Knowledge.
  • • Data Science With Python Certified Professionals with High Grade.
  • • Expert level Subject Knowledge and fully up-to-date on real-world industry applications.
  • • Trainers have Experienced on multiple real-time projects in their Industries.
  • • Our Trainers are working in multinational companies such as CTS, TCS, HCL Technologies, ZOHO, Birlasoft, IBM, Microsoft, HP, Scope, Philips Technologies etc
  • • Strong Theoretical & Practical Knowledge.
  • • Certified Professionals with High Grade.
  • • Expert level Subject Knowledge and fully up-to-date on real-world industry applications.
  • • Trainers have Experienced on multiple real-time projects in their Industries.

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