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DATA SCIENCE WITH PYTHON TRAINING

AtoZ software training institute is the best place for you to learn several valuable software courses to help your career ambitions. The systematic Data Science with Python course is designed to give you greater exposure to the world of IT.

The necessity for Data Science with Python Training is growing everyday as the largest IT companies are looking for skilled professionals. This job-oriented Data Science with Python Certification Course program with AtoZ software training opens up a new career window to help you achieve greatness.

Data Science with Python Course Job Assistance

Find your dream job with our right career guidance. You can rest assured that you will be able to find the job in esteemed IT organizations as soon as you are Data Science with Python certified with us. we will help you prepare for the relevant jobs and assist you attain it.

Our Data Science with Python Trainers

All our trainers have 8+ years of immense working experience in their field of expertise. They will provide individual attention to each of our students to help them get full practical exposure to the subject. You can ask them your doubts whenever and get clear clarification at all times.

Data Science with Python Course Features

  • Our customized course structure will give you a broad understanding of Data Science with Python and its business applications.

  • Hands-on Data Science with Python training with professional instructors. They have years of experience and practical knowledge of the subject.

  • The curriculum is prepared with industry standards. It is well-researched to get you understand the latest advancements in the field and adopt yourselves to its requirements.

  • Providing job opportunities for all our trainees is our primary goal. We arrange mock interviews, provide interview questions, and help them find the right job.

  • The classes will be at your convenience. You can decide on the time of the session!

  • You’ll get to have dedicated sessions with the trainer for additional understanding of the Data Science with Python course. We’re reachable anytime.

TRAINING DETAILS

  • starts JAN, 2020
  • duration 1 Month
  • class duration 30 hours
  • skill level all level
  • language english
  • students 400+

Enroll Now

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

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

  • Python Basic Data types
  • Lists
  • Slicing
  • IF statements
  • Loops
  • Dictionaries
  • Tuples
  • Functions
  • Array
  • Selection by position & Labels

  • Pandas
  • Numpy
  • Sci-kit Learn
  • Mat-plot library
  • Auto release pool

  • Migrating your application to ARC
  • Reading CSV files
  • Saving in Python data
  • Loading Python data objects
  • Writing data to CSV file

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

  • Central Tendency
  • Mean
  • Median
  • Mode
  • Skewness
  • Normal Distribution
  • Probability Basics
  • What does it mean by probability?
  • Types of Probability
  • ODDS Ratio?
  • Standard Deviation
  • Data deviation & distribution
  • Variance
  • Bias variance Tradeoff
  • 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 an 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

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

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

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

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