C | DAMLPP – Certified Data Analysis & Machine Learning using Python Professional

Data Analysis with Python Training in Kolkata

C | DAMLPP

Learn Data Analysis with Python Training in Kolkata from Indian Cyber Security Solutions. This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more. Python is an increasingly popular tool for data analysis. In recent years, a number of libraries have reached maturity, allowing R and Stata users to take advantage of the beauty, flexibility, and performance of Python without sacrificing the functionality these older programs have accumulated over the years.

Data Analysis with Python Training in Kolkata is designed to offer an introduction to Python specifically tailored for social scientists and people doing applied data analysis. Data Analysis is a process of inspecting, cleaning, transforming and modeling data, to get useful information from the dataset. To become a Data Analyst, it is important to have knowledge about basic concepts of Python. Join Indian Cyber Security Solutions to become a Data Analyst by Data Analysis with Python Training in Kolkata. Get hands on training from Industry experts.

This Data Analysis with Python Training in Kolkata dives into the basics of machine learning using an approachable, and well-known, programming language. You’ll learn about Supervised vs Unsupervised Learning, look into how Statistical Modelling relates to Machine Learning, and do a comparison of each.

Look at real-life examples and how it affects society in ways you may not have guessed!

Explore many algorithms and models:

  • Popular algorithms: Classification, Regression, Clustering, and Dimensional Reduction.
  • Popular models: Train/Test Split, Root Mean Squared Error, and Random Forests.

Get ready to do more learning than your machine!

This course helps participants understand what data scientists do, the problems they solve, and the tools and techniques they use. Through in-class simulations, participants apply data science methods to real-world challenges in different industries and, ultimately, prepare for data scientist roles in the field.

 

 

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Data Analysis with Python Training in Kolkata

 

Eligibility Criteria – Graduation with basic programming languages

 

 

 

 

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Data Analytics

Senior Data Analyst

 

 

Syllabus for Data Analysis with Python training in Kolkata 

 

Module 1:

  • Features of Python
  • Using the Python Interpreter 
    • Invoking the Interpreter
    • The Interpreter and Its Environment
  • Introduction to Anaconda
    • Anaconda Navigator
    • Anaconda Prompt
    • IPython Console
    • Jupyter qtconsole
    • Jupyter Notebook
    • Spyder
  • An Informal Introduction to Python
    • Using Python as a Calculator
    • First Steps Towards Programming
  • Control Flow Tools
    • if Statements
    • for Statements
    • The range() Function
    • break and continue Statements, and else Clauses on Loops
    • pass Statements
    • Defining Functions
    • More on Defining Function
    • Function special attributes
    • Coding Style

Module 2:

  • Data Structures
    • Lists
    • The del statement
    • Tuples and Sequences
    • Sets
    • Dictionaries
    • Looping Techniques
    • More on Conditions
    • Comparing Sequences and Other Types

Module 3:

  • Concept of Modules
    • Standard Modules
    • The dir() Function
    • Packages
  • Input and Output
    • Fancier Output Formatting
    • Reading and Writing Files

Module 4:

  • Object: properties and operations
  • Class as a blueprint for objects
  • Fields: Python convention for defining private fields
  • Constructors: overloading and chaining
  • Designing static properties, operations and blocks in Python
  • Special method names in a class and their uses (e.g. __new__, __del__, __str__ etc)

Module 5:

  • Single and multiple inheritance
  • Method overriding and polymorphism
  • Iterators
  • Generators
  • Generator Expressions
  • Errors and Exceptions
  • Syntax Errors
  • Exceptions
  • Handling Exceptions
  • Raising Exceptions
  • User-defined Exceptions
  • Defining Clean-up Actions
  • Predefined Clean-up Actions

Module 6:

  • Scipy and Numpy
    • The Basics
      • An example
      • Array Creation
      • Printing Arrays
      • Basic Operations
      • Universal Functions
      • Indexing, Slicing and Iterating
    • Shape Manipulation
      • Changing the shape of an array
      • Stacking together different arrays
      • Splitting one array into several smaller ones
    • Copies and Views
      • No Copy at All
      • View or Shallow Copy
      • Deep Copy
      • Functions and Methods Overview
    • Broadcasting rules
    • Fancy indexing and index tricks
      • Indexing with Arrays of Indices
      • Indexing with Boolean Arrays
      • The ix_() function
      • Indexing with strings
    • Linear Algebra
      • Simple Array Operations
    • Tricks and Tips
      • “Automatic” Reshaping
      • Vector Stacking
      • Histograms

Module 7:

  • Basics of Pandas
    • Introduction to Pandas Data Structures
      • Series
      • DataFrame
      • Index Objects
    • Essential Functionality
      • Reindexing
      • Dropping entries from an axis
      • Indexing, selection and filtering
      • Arithmetic and data alignment
      • Function application and mapping
      • Sorting and ranking
      • Axis indexes and duplicate values
    • Summarizing and Computing descriptive statistics
      • Correlation and Covariance
      • Unique values, Value Counts and  Membership
    • Handling missing data
      • Filtering out missing Data
      • Filling out missing Data
    • Hierarchical Indexing
      • Reordering and sorting levels
      • Summary statistics by level
      • Using a dataframe’s column
    • Other Pandas topics
      • Integer indexing
      • Panel Data

Module 8:

Machine learning vs Statistical Modelling & Supervised vs Unsupervised Learning

  • Machine Learning Languages, Types, and Examples 
  • Machine Learning vs Statistical Modelling
  • Supervised vs Unsupervised Learning 
  • Supervised Learning Classification 
  • Unsupervised Learning 

Module 9:

Supervised Learning I

  • K-Nearest Neighbours
  • Decision Trees 
  • Random Forests
  • Reliability of Random Forests 
  • Advantages & Disadvantages of Decision Trees 

 

 Module 10:

Supervised Learning II

  • Regression Algorithms 
  • Model Evaluation 
  • Model Evaluation: Overfitting & Underfitting
  • Understanding Different Evaluation Models 

 Module 11:

Unsupervised Learning

  • K-Means Clustering plus Advantages & Disadvantages 
  • Hierarchical Clustering plus Advantages & Disadvantages 
  • Measuring the Distances Between Clusters – Single Linkage Clustering 
  • Measuring the Distances Between Clusters – Algorithms for Hierarchy Clustering
  • Density-Based Clustering 

Module 12: 

Dimensionality Reduction & Collaborative Filtering

  • Dimensionality Reduction: Feature Extraction & Selection 
  • Collaborative Filtering & Its Challenges

Project Implementation

 

Course Duration:

3 Months Training Program (2 Hours per Class)

 

Course Fee:

INR – 13,000/- [ Class Room Hands on Training ]

INR – 15,000/- [ Online Training LIVE]

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Why Choose Indian Cyber Security Solutions ?

  • 100 % Money Refund Guarantee if not satisfied* 
  • Get trained from IT experts & Ethical Hackers with 10 years of experience.
  • Certificate recognized by government and private organizations in more than 160 countries.
  • 100 % placement assistance
  • Life time access to our online library “ HACKERS LAB ” containing case studies, video tutorials, interview questions.

 

 

Best Data Analysis with Python Training in Kolkata

Best Data Analysis with Python Training in Kolkata is most demanded course by Indian Cyber Security Solutions. Data analysis is a proven way for organizations and enterprises to gain the information they need to make better decisions, serve their customers, and increase productivity and revenue. The benefits of data analysis are almost too numerous to count, and some of the most rewarding benefits include getting the right information for your business, getting more value out of IT departments, creating more effective marketing campaigns, gaining a better understanding of customers, and so on. Data is the foundation of the Digital Age. Learn how to organize, analyze and interpret these new and vast sources of information. Free online courses cover topics such as machine learning, baseball analytics, probability, randomization, quantitative methods and much more. Learn Data Analysis with Python Training in Kolkata from Indian Cyber Security Solutions to become expert in the field of Data Analysis.

20 + certified Data Analysts will be your trainer for 3 months. We provide class room training for Data Analysis with Python training in Kolkata center and have online training facility for outstation and international students.  Our training institute is located in the city of joy Kolkata famous for its food and IT industry located in Salt Lake. Indian Cyber Security Solutions is located in salt lake sector 2 Kolkata in between the IT hub Kolkata Sector V and Sector I surrounded by MNC’s like wipro, cognizant, TCS. The commercial market in Kolkata is also growing on a large scale due to demand from global companies. Salt Lake city kolkata have been the developing zone for new commercial hubs. Who has been to Kolkata or has some idea about the IT industry there is more than willing to make Kolkata his/her workplace for it is said to be one of the most economical metro cities but due to lack of growth opportunities they tend to move towards other cities such as Bangalore and Hyderabad. Let’s hope that things will be changing in coming years for the betterment of bengal as a whole. There is a great chance for young generation to build their career in Data Analysis field by doing Data Analysis with Python Training in Kolkata.

There is so much data available today that data analysis is a challenge. Namely, handling and presenting all of the data are two of the most challenging aspects of data analysis. Traditional architectures and infrastructures are not able to handle the sheer amount of data that is being generated today, and decision makers find it takes longer than anticipated to get actionable insight from the data. 

Organizations are demanding more from their data analytics efforts, wanting immediate insights that will help drive business decisions. In response, many are adopting new technologies such as machine learning, deep learning and natural language processing. Data analytics is a process through which data is cleaned, analysed and modelled using tools. This data is then used to derive insights. The insights are then used for business related decision-making purposes. There are many techniques that data analysts use in different fields of work. In the world of business, Data analytics is used for making strategies to get the desired business results. Today, data analytics has become a big career option in India. As a result, Data Analysis with Python Training in Kolkata courses are in huge demand.

 

 

Best Data Analysis with Python Training in Kolkata

 

 

 

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Very much satisfied with Data Analysis with python training in kolkata. Trainers are really experienced. enjoyed the course. Great ambiance in class.
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