Online Store - 8925533488 /89

Chennai - 8925533480 /81

Hyderabad - 8925533482 /83

Vijayawada -8925533484 /85

Covai - 8925533486 /87

Data Science – Complete Course

Data Science – Complete Course

( 0 Rating )
112 students

Course Description

This course is designed for developers with experience in other languages who need to get up to speed on Python. At the end of this course, the students will know the essentials of the Python language, how to use Python’s module system to structure code, and how to approach the development of Python programs.

We’ll cover the core Python language and the standard library in detail. This data science with practical approach covers various skills including text manipulation, modular programming, working with and retrieving data, interacting with files on your computer, and using some of the more popular third-party libraries (and getting them installed when and where we need them).

Importance of the Course

  • Understand how to install and use Python
  • Understand the fundamental Python programming techniques and tools.
  • Discover the history of Python and how it compares to other programming languages.
  • Discuss its applications and the types of problems it can solve.
  • Analyse the Natural Language Processing.

 

Curriculum 

 Module 1:  Python – Introduction, Tools & Syntaxes

 Module 2:  Numpy ,Pandas and Google Colab Notebook

Module 3: Introduction to Matplotlib and Scikit-Learn

Module 4: Keras , SVM Algorithm and Artificial Neural Networks

Module 5: Capstone Project

 

Module 1: Python – Fundamentals, Tools & Syntaxes

 Lesson 1: Python Programming – Fundamentals

 Types of Programming Languages – Advantages of Python – Installation of Python – Data types &Operators in Python – Numerical Operations on Python – String Operations on Python – Loops in Python

Assignment 1: Swapping of Numbers   Assignment 2: Password Authentication

Go the Extra Mile – Try Looping within a Loop for any specific operation

 Lesson 2:  Python – Tools | Syntaxes & Data Structures

Python Lists & Tuples – Functions – Conversions – Arguments – Function Calls – Void statements – Functions with Multiple Arguments – Building Custom Functions in Python

Assignment 3: Palindrome                            Assignment 4: Tower of Hanoi

Go the Extra Mile – Write a python program that takes a list of strings as an input and using while loop, display the strings in the descending order.

 

Module 2:  Numpy ,Pandas and Google Colab Notebook

Lesson 3: Pandas library

Pandas Introduction  –  Features  Of  Pandas  –  Pandas Data Structures – Series and DataFrames  with  examples  –  Operations on a DataFrame – Panels

 Lesson 4: Numpy library

Introduction – Pre – Requisites – Array operations – Array objects  – Datatypes – Array attributes – Flags – Indexing and Slicing – Array manipulations – Transpose Operations – String Functions – Mathematical functions.

 Assignment 5: 1.Write a program to perform the following operations using numpy:

  1. Create an array.
  2. Create an array filled with ones.
  3. Create an array filled with the same value throughout the entire array.
  4. Print a range of numbers from 20 to 30.

Write a program to create a data frame using pandas library  which contains the names of different students and their corresponding ages.

Go the Extra Mile – Read a csv file using pandas and then calculate the sine of the angle for various values contained in the csv file using numpy.

Lesson 5: Google Colab Notebook

Google Colab Introduction  –  Colab  Notebook  Creation –  Various Colab Operations – Markdown Examples – Google Colab Functions – Mounting Drive –

Colab – Graphical outputs – Function list – Colab Magics – Colab – Adding Forms – Various form operations.

Assignment 6: a. Explain how to use Google Colab and  write a simple python program using  google  colab.

Add a form and illustrate what are the different operations that can be performed using forms.

Go the Extra Mile – Use the various functionalities of Google Colab and how we can develop a  project using any one  of  the ML algorithms.

 

 Module 3: Introduction to Matplotlib and Scikit-Learn

 Lesson 6: Matplotlib Library

Matplotlib – Dependencies – Features – PyPlotAPI – Types Of Plots – Image Functions –  Axis Functions – Figure Functions – Simple Plot Example – PyLab Module – Object Oriented Interface – Figure Class – Axes Class – Color Codes – Marker Codes – Line Styles – Multiplot – Subplot() – Subplot2Grid() – Grids – Formatting Axes.

 Assignment 7: a. Write a program to create a bar plot which takes states along the x-axis and population along the y-axis.

Write a program to create a histogram using Matplotlib.

Go the Extra Mile – Read a weather dataset(csv file) ,  create a subplot using Matplotlib and then create a density plot for various attributes present in the dataset.

Lesson 7: Scikit – Learn

Introduction – Pre – Requisites – Installation – Features – Modelling Process – Dataset  Loading – Splitting the Dataset – Sample Example.

 Assignment  8: Write a program to load a dataset using sklearn  and split the data into training data and testing data using  sklearn.

Go the Extra Mile – Take any real time project and then illustrate how sklearn can be employed  in order to evaluate the performance of the model.

 

Module 4: Keras , SVM Algorithm and Artificial Neural Networks

Lesson 8: Keras

Keras – features and Benefits Of Keras – Installation of Keras and TensorFlow – Keras Layers – Keras Layers Example.

 Assignment 9: Employ Keras models and how it can be used to predict the crop yield.

Go The Extra Mile : Illustrate how Keras Models can be employed in predicting the sales of a company.

Lesson 9: SVM Algorithm , ANN

SVM – Working Of  SVM – SVM Concepts – SVM Kernels – SVM Example – ANN – Types Of  ANN – Working Process Of ANN

Assignment 10: a. Write a program to predict the stock market prices using LSTM RNN.

Write a program to predict liver disease using SVM algorithm.

Go the Extra Mile – Explain  how the medicinal value of plants can be evaluated with the help of neural networks and  evaluate the performance of the neural network.

Lesson 10: Neural networks , CNN

Neural networks – Implementation Demo – CNN Algorithm – Implementation Demo – Image Classification Using CNN

 Assignment 11: Medical Image Classification using CNN.

Go the Extra Mile – Employ various neural network techniques and develop a model in order to prevent any frauds happening in banks.

 

  • Introduction to python

    Introduction to Basic Programming Knowledge  to Write simple Python Program or  Script

  • Python Installation and Applications

    Python Installation and Applications

    No items in this section
  • Python 2 Vs Python 3
    No items in this section
  • Installation Steps
    No items in this section

pantech

Agile Project Expert

Course Rating

0.00 average based on 0 ratings

Star
0%
Star
0%
Star
0%
Star
0%
Star
0%

Warning: call_user_func_array() expects parameter 1 to be a valid callback, class 'ECA_Woo_Payment' does not have a method 'add_to_cart' in /home/pantechelearning/public_html/wp-includes/class-wp-hook.php on line 303
Data Science – Complete Course
Course Preview
  • Price
    ₹2,200.00 ₹1,250.00
  • Instructor pantech
  • Duration 15 Hrs
  • Enrolled 112 student

More Things You Might Like This

Internship on Deep Learning using PyTorch – IEEE
₹1,000.00

Internship on Deep Learning using PyTorch – IEEE

Internship on Deep Learning using PyTorch | Online Certified Internship, helps the learners to get more on practical knowledge.

Bootcamp on Routing and Switching in Data Communicatoin
₹350.00

Bootcamp on Routing & Switching in Data Communication and Networking

Bootcamp on Routing & Switching in Data Communication and Networking, helps the participants to understand the protocols involved.

Python Masterclass
₹2,000.00

Python Masterclass

Python course for beginners, Learn Python Programming , Python Web Framework, Django, computer vision concepts, NN Algorithms and a lot more.

Open Whatsapp Chat
Need Any Help?
Hello
Welcome to Pantech eLearning!..

How can i help you?