Python Training Institutes in Hyderabad

Data science


After successful completion of this course, you will be able to Use Python to scrape, clean, process and visualize data. Use statistical methods and visualization to quickly explore data. Apply statistics and computational analysis to make predictions based on data. Effectively communicate the outcome of data analysis using descriptive statistics and visualizations.

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Data science Curriculum

MODULE 1

Introduction

MODULE 2

Data types

Arrays,Lists,Data Frames,Matrices,Vector

MODULE 3

Data connections

Reading and writing for different files : CSV,EXCEL,JSoN .Reading and writing for different data stores : SQL databases, NOSQL databases

MODULE 4

Statistics

Introduction to statistics,Measures of central tendency,Measures of variability,Hypothesis testing,Inferential test metrics,Analysis of variance,Similarity metrics,Feature engineering

MODULE 5

Machine learning (Scikit library)

a) Supervised learning algorithms : Linear regression,Logistics regression,K- Nearest Neighbors,Naive Bayes,Support vector machines,Neural networks,Ensembles. b) Unsupervised learning algorithms :Clustering ( K-means, Hierarchical algorithms) . c) Dimensionality reduction (Factor analysis, PCA). d) Anomaly detection ( K-NN, Local outlier factor) e) Time series analysis f) Model validation and selection

MODULE 6

Text mining (Scikit library)

Introduction to Natural Language Processing,Bag of words,N-gram,Stop words,Sentiment analysis,Text classification,Feature extraction

MODULE 7

Charts & Graphs

matplot visualization library

Learn the skills Needed by industry to be an Data science developer