Data Science with Python & Machine Learning

PROGRAM OVERVIEW

Machine learning is one of the key components of data science. This module focuses on Python, which in recent years has become very popular programming language and is widely used across data science related projects. This module has been designed to cater to ML & Python to give you a targeted learning, especially when learning on other data science platforms is not required.

 

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CURRICULUM

Data Analytics with Python & Machine Learning

SQL

Basics of Database, Types of Databases, DDL, DML, Select, Insert, Update, Delete
Joins, nth highest
Assessments:- Assignment of SQL

Python

IDE of Python, Basics of Python, Control Structure, String, Number
List, Dictionary, Sets, Tuples, file handling, functions
Numpy, regular expressions
Pandas, Graphs( Matplotlib), init
Assessments:- Assessment of Python

Statistics 

Descriptive Analytics (mean, median, mode, AM, GM, HM, Quartile, Percentile, Decile, Box plot, range, MD, SD, Variance)
Covariance, Correlation, skewness, kurtosis
Hypothesis Testing (p value)( T-test, Z-test, F-test)
Regression Analysis( simple, mutiple, linear, non linear)
Assessments:- Assessment of Statistics

ML 

Classification( training, test, ROC, confusion matrix),KNN, Decision Tree
Probability, Bayes Theorem, Naive Bayes classifier
ANN, CNN, RNN
Clustering(K-Means), Association Mining
Time Series Analysis( differencing, MA, AR, ARMA, ARIMA, exponential smoothing)
Assessments:- Assessment of ML
Excel Assignment
Assessment of Excel

Excel  

VBA, Graphs
Assessments:- Project-01

Excel 

Formulas in Excel

Documents  

Word, Microsoft powerpoint, Microsoft Vision
Assessments:- Assessment of Word Doccuments

Assignment

8 Assignment;One Each Topics

Test Series  

1 Full Test

PROJECT & TRAINING

Our live-projects offering prepares you for a range of analytics offerings in data science domain. For this course we would work on these projects:

  1. Text Analytics: Appling Text Analytics on text data (twitter, online) and calculating polarization, complex words, fog index, text clusteting, text classification in Python
  2. CNN on Image Data: Applying deep learning in image processing, classification and identifying features in Python

SAMPLE CERTIFICATE

 

USP OF PROGRAM

Curriculum created by the industry experts in collaboration with NASSCOM keeping in mind the industry needs
State-of-the-art infrastructure and fully equipped labs
NASSCOM SSC official study material
Training delivered by Certified and experienced trainers and industry experts
Placement Assistance.
Interview Preparation.
Certificate exam conducted by Emerging India.

FAQ

What is this program about ?

This program covers key librararies and techniques in Python for better understanding of concepts in Machine Learning

What is course duration ?

The course duration is approximately 178 hours

What all topics and tools will be covered in this program ?

Python has become a very popular programming language and with its vast array of ML libraries is go-to platform for all the data scientists.