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Data Science

Python For Data Science Online Training

Python Online training is designed to make students familiar with the concepts, tools and programming skills which will be used for Data science main course.

The Concepts includes Introduction to PythonPython for Data ScienceData Visualization in Python, Data Analysis using SQL and Math for Data Analysis

Key FeaturesPython and Math for Data Science Course ContentFAQs
  •   30 hours of Instructor Training Classes  
  • 24/7 Support
  • The course materials include:
  1. Concept reference chapters.
  2. Practical which include suggested homework assignments.
  3. Slide deck for fast review.
  •   Lifetime Access to Recorded Sessions       
  •  Practical Approach  Real World use cases and Scenarios 
  • Expert & Certified Trainers

What does the course cover?

Python and Math for Data Science course includes five modules which is divided into multiple sessions and sub-sessions depends on complexity of concept:

Module 1:Introduction to Python

Session 1:Data Structures in Python

1.1: Inrtoduction_installtion of Python and NoteBook

1.2: Basics

1.3: Lists

1.4: Tuples

1.5: Dictionaries

1.6: Sets

Session 2:Control Structures and Functions

2.1: If, else , if-else

2.2: Loops

2.3: List, Dictionary comprehensions

2.4: Functions

2.5: Map, Filter and Reduce

Module 2:Python for Data Science

Session 1:Introduction to NumPy

1.1-NumPy Basics

1.2-Creating NumPy Arrays

1.3-Structure and Content of Arrays

1.4-Subset, Slice, Index and Iterate through Arrays

1.5-Multidimensional Arrays

1.6-Computation Times in NumPy and Standard Python Lists

Session 2:Operations on NumPy Arrays

2.1-Basic Operations

2.2-Operations on Arrays

2.3-Basic Linear Algebra Operations

Session 3:Introduction to Pandas

3.1-Pandas Basics

3.2-Indexing and Selecting Data

3.3-Merge and Append

3.4-Grouping and Summarizing Dataframes

3.5-Lambda function & Pivot tables

Session 4: Getting and Cleaning Data

4.1-Reading Delimited and Relational Databases

4.2-Reading Data From Websites

4.3-Getting Data From APIs

4.4-Reading Data From PDF Files

4.5-Cleaning Datasets

Module 3:Data Visualisation in Python

Session 1:Basics of Visualisation

1.1-Data Visualisation Toolkit

1.2-Components of a Plot

1.3-Sub-Plots

1.4-Functionalities of Plots

Session 2:Plotting Data Distributions

2.1-Univariate Distributions

2.2-Univariate Distributions – Rug Plots

2.3-Bivariate Distributions

2.4-5-Bivariate Distributions – Plotting Pairwise Relationships

Session 3:Plotting Categorical and Time-Series Data

3.1-Plotting Distributions Across Categories

3.2-Plotting Aggregate Values Across Categories

3.3-Time Series Data

Module 4:Data Analysis using SQL

Session 1:Basics of SQL

1.1-An introduction to RDBMS and SQL

1.2-Basics of SQL

1.3-Data Retrieval with SQL

1.4-Compound Functions and Relational Operators

1.5-Pattern Matching with Wildcards

1.6-Basics of Sorting

1.7-Session Summary

Session 2:Advanced SQL

2.1-Order by Clause

2.2-Aggregate Functions

2.3-Group by Clause

2.4-Having Clause

2.5-Nested Queries

2.6-Inner Join

2.7-Multi Join

2.8-Outer Join

Session 3: SQL Practice Questions

3.1-SQL Practice

Module 5:Math for Data Analysis

Session 1:Vectors and Vector Spaces

1.1-Introduction to Linear Algebra

1.2-Vectors The Basics

1.3-Vector Operations

1.4-Vector Spaces

Session 2:Linear Transformation And Matrices

2.1-Matrices The Basics

2.2-Matrix Operations

2.3-Representing Linear Transformations As Matrices

2.4-Linear Independence

2.5-Determinants

2.6-Inverse of a Matrix

2.7-Hands-on Exercises on Linear Transformations

Session 3:Eigenvalues And Eigenvectors

3.1-Eigenvectors What Are They

3.2-Calculating Eigenvalues

3.3-Application of Eigenvalues and Eigenvectors

Who Are The Trainers?
Our trainers have relevant experience in implementing real-time solutions on different queries related to different topics. Spiritsofts verifies their technical background and expertise.
What If I Miss A Class?
We record each LIVE class session you undergo through and we will share the recordings of each session/class.
How Will I Execute The Practical?
Trainer will provide the Environment/Server Access to the students and we ensure practical real-time experience and training by providing all the utilities required for the in-depth understanding of the course.
If I Cancel My Enrollment, Will I Get The Refund?
If you are enrolled in classes and/or have paid fees, but want to cancel the registration for certain reason, it can be attained within 48 hours of initial registration. Please make a note that refunds will be processed within 30 days of prior request.
Will I Be Working On A Project?
The Training itself is Real-time Project Oriented.
Are These Classes Conducted Via Live Online Streaming?
Yes. All the training sessions are LIVE Online Streaming using either through WebEx or GoToMeeting, thus promoting one-on-one trainer student Interaction.
Is There Any Offer / Discount I Can Avail?
There are some Group discounts available if the participants are more than 2.
Who Are Our Customers?
As we are one of the leading Python for Data Science Training providers of Live Instructor LED training, We have customers from USA, UK, Canada, Australia, UAE, Qatar, NZ, Singapore, Malaysia, Sydney, France, Finland, Sweden, Spain, Russia Moscow, Denmark, London, England, South Africa, Switzerland, Kenya, Philippines, Japan, Indonesia, Pakistan, Saudi Arabia,  Qatar, Kuwait, Germany, Frankfurt Berlin Munich, Poland, Belarus, Belgium Brussels Netherlands Amsterdam, India and other parts of the world.

We are located in USA. Offering Online Training in Cities like New York, New jersey, Dallas, Seattle, Baltimore, Tempe, Chandler, Scottsdale, Peoria, Honolulu, Columbus, Raleigh, Nashville, Plano, Toronto, Montreal, Calgary, Edmonton, Saint John, Vancouver, Richmond, Mississauga, Saskatoon, Kingston, Kelowna, Houston, Minneapolis, Los Angeles, San Francisco, San Jose, San Diego, Washington DC, Chicago, Philadelphia, St. Louis, Edison, Jacksonville, Towson, Salt Lake City, Davidson, Murfreesboro, Atlanta, Alexandria, Sunnyvale, Santa Clara, Carlsbad, San Marcos, Franklin, Tacoma, California, Bellevue, Austin, Charlotte, Garland, Raleigh-Cary, Boston, Orlando, Fort Lauderdale, Miami, Gilbert.

Hyderabad (Ameerpet), Kukatpally, Vizag, Nellore, Lucknow, Coimbatore, Marathahalli, Electronic city , Silk board, Kakinada, Goa, Vijayawada, Bangalore, Noida, Chennai, Kolkata, Pune, Whitefield, Mumbai, Delhi NCR, Dubai, Doha, Melbourne, Brisbane, Perth, Wellington, Leeds, Manchester, Liverpool, Ireland Dublin, Oxford, Cambridge, Brighton, Cardiff, Bristol, Lithuania,  Latvia, Italy, San Marion, China Beijing, Auckland etc…

 

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Other Courses

Python Training

Spiritsofts is the best Training Institutes to expand your skills and knowledge. We Provides the best learning Environment. Obtain all the training by our expert professional which is having working experience from Top IT companies.The Training in is every thing we explained based on real time scenarios, it works which we do in companies.

Experts Training sessions will absolutely help you to get in-depth knowledge on the subject.

Key FeaturesCourse ContentFAQs

  • 40 hours of Instructor Training Classes
  • Lifetime Access to Recorded Sessions
  • Real World use cases and Scenarios
  • 24/7 Support
  • Practical Approach
  •  Expert & Certified Trainers

Python Training Course Content

Introduction to Python 3

  • Origin and Goals of Python
  • Overview of Python Features
  • Getting and Installing Python
  • Accessing Python Documentation: Python Enhancement
  • Proposals (PEP)
  • Python’s Strengths
  • Using Python with Other Programming Languages

Language Fundamentals

  • Python’s Lexical Analyzer
  • Using Whitespace to Structure Programs
  • Identifiers and Keywords
  • Python’s Execution Model
  • Naming Objects and Binding
  • Python’s Data Model
  • Immutable and Mutable Objects
  • Values
  • Types
  • Creating and Using Variables

Expressions

  • Unary and Binary Arithmetic Operations
  • Comparison and Boolean Operations
  • Conditional Expressions
  • Lambda Expressions
  • Order of Operations and Operator Evaluation
  • Expression Lists
  • Assignment Operations

Using the String Object

  • Using ASCII and Unicode Strings
  • Manipulating Strings with String Methods
  • Using the format() Function to Format Strings
  • Using Escape Sequences
  • Working with Raw Strings

Arrays, Collections and Dictionaries

  • Sequenced Data Structures
  • Arrays
  • Collections
  • Dictionaries
  • Creating and Accessing Lists
  • Manipulating Lists
  • Creating and Accessing Tuples
  • Understanding the Differences Between Lists and Tuples
  • Using Dictionaries to Create Data Records
  • Manipulating Dictionaries Using Dictionary Methods
  • Creating Sets
  • Performing Set Operations
  • Union
  • Intersect
  • Difference
  • Differences Between Sets and Dictionaries
  • Using Generators to Return Iterators

Object Oriented Programming Concepts

  • The Object Oriented Programming Paradigm
  • Encapsulating Information
  • Classes vs. Instances of Objects
  • Built-in Class Attributes
  • Implementing Class Inheritance
  • Using Objects in Code

Data Management

  • Embedding SQLite Databases in Applications
  • Best Practices for Data Management
  • Storing Data in Local Databases
  • Discussing and Understanding the DB API
  • Understanding and Using Common SQL Statements
  • Connecting to a SQLite Database
  • Using Cursors to interact with Data from a Database
  • Implementing Error Handling with Database Connections

Using Python

  • Executing Python Programs from the Command Line
  • Python Command Line Options
  • Environment Variables that Influence Python
  • Creating Python GUI Applications
  • Standalone vs. Web-Enabled Interfaces
  • The Python Standard Library

Flow Control Constructs

  • if/elif/else Statements
  • Creating Loops with while and for
  • Understanding Iterators
  • Returning Values with return Statements
  • Loop Modification with break and continue
  • Returning Generator Iterators with the yield Statement
  • Retrieving Iterators with next()

Exception Handling

  • Types of Python Exceptions
  • Handling Exceptions with try/except/finally
  • Triggering Exceptions with raise
  • Defining New Exception Types
  • Implementing Exception Handling in Functions, Methods and Classes
  • Working with the Regular Expression Error Exception

Organizing Code

  • Defining Functions
  • Calling Functions
  • Creating Anonymous Functions
  • Altering Function Functionality with Decorator Functions
  • Creating Classes with the class Statement
  • Creating Objects as Class Instances
  • Using Preexisting Classes as the Basis of a New Class
  • Using Modules to Group Related Functions, Classes and Variables
  • Locating and Importing Modules
  • Using Packages to Group Modules Together

Working with Arguments

  • Passing Arguments to Functions by Reference and by Value
  • Defining Functions with Required Arguments
  • Defining Functions with Default Arguments
  • Defining Flexible Functions that Take Variable Length Arguments

Regular Expressions

  • Regular Expression Syntax
  • Using Regular Expressions in Python
  • Altering Regular Expression Processing with Regular Expression Modifiers
  • Using Regular Expression Operators
  • Scanning Through Strings Using the search() and match() Methods
  • Creating Reusable Patterns by Using the compile() Method

I/O Handling

  • Sending Output to STDOUT Using the print() Method
  • Reading Input with the input() Method
  • Creating File Objects with the open() Method
  • Controlling File Access Modes
  • Working with File Object Attributes
  • Closing File Objects with the close() Method
  • Reading and Writing to File Objects with read() and write()
  • Using File Processing Functions from the OS Module

For Python Interview Questions Click Here

Who Are The Trainers?
Our trainers have relevant experience in implementing real-time solutions on different queries related to different topics. Spiritsofts verifies their technical background and expertise.

What If I Miss A Class?
We record each LIVE class session you undergo through and we will share the recordings of each session/class.

How Will I Execute The Practical?
Trainer will provide the Environment/Server Access to the students and we ensure practical real-time experience and training by providing all the utilities required for the in-depth understanding of the course.

If I Cancel My Enrollment, Will I Get The Refund?
If you are enrolled in classes and/or have paid fees, but want to cancel the registration for certain reason, it can be attained within 48 hours of initial registration. Please make a note that refunds will be processed within 30 days of prior request.

Will I Be Working On A Project?
The Training itself is Real-time Project Oriented.

Are These Classes Conducted Via Live Online Streaming?
Yes. All the training sessions are LIVE Online Streaming using either through WebEx or GoToMeeting, thus promoting one-on-one trainer student Interaction.

Is There Any Offer / Discount I Can Avail?
There are some Group discounts available if the participants are more than 2.

Who Are Our Customers?
As we are one of the leading providers of Live Instructor LED training in all over the world.

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Python Interview Question & Answers

Our experts providing  Python  interview questions & Answers/Faqs, It can develop your carrier & knowledge to find the right job in a good MNC’s, doesn’t matter what kind of company you’re hired.

1)What is Python? What are the benefits of using Python?

Python is a programming language with objects, modules, threads, exceptions and automatic memory management. The benefits of pythons are that it is simple and easy, portable, extensible, build-in data structure and it is an open source.

2)What is PEP 8?

PEP 8 is a coding convention, a set of recommendation, about how to write your Python code more readable.

3)What is pickling and unpickling?

Pickle module accepts any Python object and converts it into a string representation and dumps it into a file by using dump function, this process is called pickling. While the process of retrieving original Python objects from the stored string representation is called unpickling.

4) What are the tools that help to find bugs or perform static analysis?

PyChecker is a static analysis tool that detects the bugs in Python source code and warns about the style and complexity of the bug. Pylint is another tool that verifies whether the module meets the coding standard.

5)What are Python decorators?

A Python decorator is a specific change that we make in Python syntax to alter functions easily.

6)What is the difference between list and tuple?

The difference between list and tuple is that list is mutable while tuple is not. Tuple can be hashed for e.g as a key for dictionaries.

7) What is Dict and List comprehensions are?

They are syntax constructions to ease the creation of a Dictionary or List based on existing iterable.

8)What are the built-in type does python provides?

There are mutable and Immutable types of Pythons built in types Mutable built-in types

List
Sets
Dictionaries
Immutable built-in types

Strings
Tuples
Numbers

9)What is namespace in Python?

In Python, every name introduced has a place where it lives and can be hooked for. This is known as namespace. It is like a box where a variable name is mapped to the object placed. Whenever the variable is searched out, this box will be searched, to get corresponding object.

10)What is lambda in Python?

It is a single expression anonymous function often used as inline function.

11)Why lambda forms in python does not have statements?

A lambda form in python does not have statements as it is used to make new function object and then return them at runtime.

12)In Python what are iterators?

In Python, iterators are used to iterate a group of elements, containers like list.

13)What is negative index in Python?

Python sequences can be index in positive and negative numbers. For positive index, 0 is the first index, 1 is the second index and so forth. For negative index, (-1) is the last index and (-2) is the second last index and so forth.

14) How you can convert a number to a string?

In order to convert a number into a string, use the inbuilt function str(). If you want a octal or hexadecimal representation, use the inbuilt function oct() or hex().

15)What is the difference between Xrange and range?

Xrange returns the xrange object while range returns the list, and uses the same memory and no matter what the range size is.

16) How can you share global variables across modules?

To share global variables across modules within a single program, create a special module. Import the config module in all modules of your application. The module will be available as a global variable across modules.

17)Explain how can you make a Python Script executable on Unix?

To make a Python Script executable on Unix, you need to do two things,

Script file’s mode must be executable and
the first line must begin with # ( #!/usr/local/bin/python)

18)Mention the use of // operator in Python?

It is a Floor Divisionoperator , which is used for dividing two operands with the result as quotient showing only digits before the decimal point. For instance, 10//5 = 2 and 10.0//5.0 = 2.0.

19) Mention the use of the split function in Python?

The use of the split function in Python is that it breaks a string into shorter strings using the defined separator. It gives a list of all words present in the string.

20)Explain what is the common way for the Flask script to work?

The common way for the flask script to work is

Either it should be the import path for your application
Or the path to a Python file


For Python Course Content Click Here