Data Science with Python Training Online -Prologinfo

Course Overview

The data science with Python training help in making a proficient in several important Python programming concepts such as object-oriented programming, data operations, file operations, and several Python libraries such as NumPy, matplotlib, and Pandas that are essential for data science. The data science with Python course also covers several important topics such as several types of machine learning, recommendation systems, and many other significant concepts for starting a career in the field of data science. You will also learn about the fundamentals of Python, basic concepts of data science, an overview of machine learning with Python, a description of Pandas, Matplotlib, and NumPy, and many more throughout the online training course. If you want to learn more about data science then should do a data science training course that will help in learning data science with Python course.

Data Science with Python Key Features :

The support team will answer your questions 24/7
We will also develop your resume
Core concepts of data science with python
Get data science with python interview questions
Schedule your timings as per your convenience
Mock tests and Mock interviews

who should take the Data Science with Python Course?

There are several professionals who are suitable for data science with python are given below –

Analytical Managers
Predictive Analysis
Information Architects
Programmers
Business Analysts

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Course curriculum / Syllabus

Overview of Python

Basic concepts of Python
Describe Python scripts on Windows or Unix
Several applications where Python is used
Operands and Expressions
Loops
Command Line Arguments
Conditional Statements

Introduction to Machine Learning with Python

Overview of machine learning
Machine Learning Categories
Machine Learning Use-Cases
What is Linear Regression
Machine Learning Process Flow

Data Science: Overview

Description of Data Science
Data Science Toolkit
Data Science Project Life Cycle

Sequences and File Operation

Strings and related operations
Sets and related operations
Lists and related operations
Python files I/O Functions

Introduction to NumPy, Pandas, and Matplotlib

Overview of NumPy, Pandas, and Matplotlib
Indexing slicing and iterating
Writing and Reading arrays on files
Data Analysis
NumPy arrays
Pandas – Index operations and data structures
Metadata for imported Datasets
Several types of plots – pie charts, histograms, and bar graphs
Matplotlib Library
Writing and Reading data from CSV/Excel formats into pandas

Data Manipulation: Overview

Different types of join on data objects
How to explore a dataset
Concatenation of data objects
How to analyze a dataset
What are the basic functionalities of a data object
Merging of Data objects

Deep Dive – Modules, OOPs, Exceptions, Functions, Modules, and Errors

Global Variables
Several Modules used in Python
What are Lambda Functions
Package Installation Ways
Handling Multiple Exceptions
Functions Parameters
Variable Scope and Returning Values
Object Oriented Concepts
Exception and Errors Handling
Overview of Lambda Functions

Dimensionality Reduction

Overview of Dimensionality
Factor Analysis
Cause of Dimensionality Reduction
Scaling Dimensional Model

Time Series Analysis

Overview of Time Series Analysis
Components of Time Series Analysis
Importance of Time Series Analysis
AR Model
ARMA Model

Reinforcement Learning

Overview of Reinforcement Learning
Different elements of Reinforcement Learning
Importance of Reinforcement Learning
Description of Markov Decision Process (MDP)

Data Science with Python FAQ’s:

1.1. What is Data Science?

Data Science is a field that involves using computational and statistical techniques for extracting knowledge and insights from data. It encompasses a wide range of tasks that includes statistical modelling, data cleaning and preparation, machine learning, data visualization, and many more.

2.What do you understand by Python?

Python is an open-source, interpreted, and high-level language, which provides a great approach to object-oriented programming. It is one of the best languages which may be used by a data scientist for many data science applications or projects.

3.Can I work on real-time projects that are based on this course during the training?

Yes, we provide an opportunity to work on several industry-relevant projects that are based on data science with python throughout the training course.

4.Who will deliver the lectures?

Our expert trainers with several years of experience in the best institutes will deliver the lectures.