IT Training Institute in Delhi | Redhat Authorized Partner in Delhi | KR Network Cloud

Overview Of Data Science

Are you prepared to begin your way to turning into a Data Scientist! This extensive course will be your manual for figuring out how to utilize the intensity of Python to dissect information, make delightful perceptions, and utilize ground-breaking AI calculations!

Information Scientist has been positioned as the main activity on Glassdoor and the normal compensation of an information researcher is over $120,000 in the United States as per Indeed! Information Science is a remunerating vocation that permits you to explain a portion of the world's most intriguing issues!

Since 2010, KR Network Cloud has Provided individual and Corporate customers with a predominant learning experience under the world Class Experts. As a Trusted Education Institute we convey more than 250+ IT Training Programs From such driving innovation firms as CISCO, MICROSOFT, RED HAT, STAR CERTIFICATION, COMPTIA. We Leverage these Vendor,s Professional specialized Training substance and Combine it with our Award-winning course teachers to Produce a reliably predominant degree of Training.

Data Science Course Objective

This course is intended for the two novices with some programming experience or experienced designers hoping to take the leap toward Data Science! This extensive course is equivalent to other Data Science bootcamps that typically cost a great many dollars, however now you can become familiar with such data at a small amount of the expense! With more than 100 HD video addresses and a definite code scratch pad for each talk this is one of the most extensive courses for information science and AI .

Course Content Of Data Science

  • History of Python
  • Version of Python
  • Features of Python
  • Python Variables & Data Types
  • Type Casting
  • Types of Operators
  • Input and Output
  • The if-else Statements
  • Python Looping Concept
  • Python Sequence Types
    • List Type
    • Tuple Type
    • Difference between List and Tuple
    • Dictionary Type
    • String Type
    • List comprehensions
  • Defining a function
  • Calling a function
  • Lambda Function
  • Creating a Module
  • Importing a Module
  • Install Module using pip command
  • Packages in python
  • If __name__ == ”main” statement
  • Open file using open function
  • Open file using with statement
  • Read and Write data from txt file
  • working with other type of file csv, excel
  • copy and move files
  • zipping and unzipping
  • working with Directories
  • OS Module
  • Shutil Module
  • what is Exception
  • Handling Exception using try and except block
  • Finally end else block
  • Raising our Own Exception
  • User Defined Exception
  • re module
  • functions of re module
  • character classes
  • predefine character classes
  • quantifiers
  • Database Connection
  • Working with dates and time
  • Oops
  • Web Scraping
  • Differential Calculus
  • Integral Calculus
  • What is Probability?
  • Random Variables
  • Calculating Probability
  • Binomial Distribution (With implementation in R)
  • Continuous Random variable
  • Central Limit Theorem
  • Sets, Relations, & Functions
  • Mathematical Logic
  • Group Theory
  • Counting & Probability
  • Why Linear Algebra for Data Science
  • Problems in Linear Algebra
  • Matrix
  • Eigenvalues and Eigenvectors
  • Basic Statistics
  • Descriptive Statistics
  • Inferential Statistics
  • Predictive Modeling
  • Population and sample
  • mean, median, mode
  • Probability and Distribution
  • Central Tendency
  • Coefficient of variation
  • Normal Distribution
  • Central Limit Theorem
  • Hypothesis
  • t- test of mean
  • z-test of proportions
  • Introduction to Data Structures
    • Series
    • DataFrame
  • Series
    • Create Series
    • Accessing Data from Series
  • DataFrame
    • Create DataFrame
    • Create a DataFrame from List of Dicts
    • Column Selection, Addition, Deletion
    • Row Selection, Addition, and Deletion
    • Read CSV and Excel file using pandas
    • Load data from html and json
    • Load data from string
  • Basic Functionality
  • Re-Indexing
  • Iteration
  • Sorting
  • Options and Customization
  • Indexing and Selecting Data
  • Statistical Functions
  • Aggregations
  • Missing Data
  • GroupBy
  • Merging/Joining
  • Concatenation
  • Date Functionality
  • Categorical Data
  • Numpy Array
    • Array Manipulation
    • Indexing and Slicing
    • Advanced Indexing
    • Broadcasting
    • Mathematical Functions
    • Arithmetic Operator
    • Statistical Function
    • Sort, Search, Count
    • Copies and Views
    • Matrix
  • Variables and Data types
  • Identifiers in C
  • Variables and Data Types
  • Constants
  • HeatMap
  • JointPlot
  • Pairplot
  • Distplot
  • Countplot
  • Barplot
  • Boxplot
  • Realplot
  • Data PreProcessing
  • Data Imputation
  • Data Cleaning
  • Data Transformation
  • Feature Engineering
  • Handling Missing value
  • Handling Categorical data
  • Handling Imbalanced dataset
  • Handing Errors in data
  • Exploratory data analysis
  • What is Tableau?
  • Tableau vs Power BI
  • Tableau Architecture
  • How to Download & Install Tableau Public & Desktop
  • Connections to Multiple Data Sources & Replacing Data Source
  • Filter data in Tableau: Types & Examples
  • Sort Data, Create Group, Hierarchy & Sets
  • Charts & Graphs
  • What is Machine Learning?M
  • Intro about ML, DS,AI
  • Types Of Machine Learning(Supervised, Unsupervised , Reinforcement )
  • Simple Linear Regression
  • Multiple Linear Regression
  • Polynomial Regression
  • Support Vector Regression(SVR)
  • Decision Tree Regression
  • Random Forest Regression
  • Logistic Regression
  • K-Nearest Neighbors (K-NN)
  • Support Vector Machine(SVM)
  • Decision Tree Classification
  • Random Forest Classification
  • K-Means Clustering
  • Hierarchical Clustering
  • Upper Confidence Bound(UCB)

Why Learn Data Science?

  • Use Python for Data Science and Machine Learning.
  • Use Spark for Big Data Analysis.
  • Actualize Machine Learning Algorithms.
  • Figure out how to utilize NumPy for Numerical Data.
  • Figure out how to utilize Pandas for Data Analysis.
  • Figure out how to utilize Matplotlib for Python Plotting.
  • Figure out how to utilize Seaborn for measurable plots.
  • Utilize Plotly for intelligent unique representations.
  • Use SciKit-Learn for Machine Learning Tasks.
  • K-Means Clustering.
  • Strategic Regression.
  • Direct Regression.
  • Irregular Forest and Decision Trees Normal Language
  • Processing and Spam Filters
  • Neural Networks.
  • Backing Vector Machines.

The Top Reason why to choose KR Network Cloud

  • KR Network Cloud is the Star Certified Authorized Training Partner
  • We have a world-class experienced & Certified Trainer for Data Science Training
  • All lab facilities are available. labs are facilitated with computer
  • We provide training as well as Data Science Certification
  • KR Network Cloud will provide you the Notes, Videos, and Data Science Training books
  • We provide corporate as well as industrial training in Delhi
  • Demo session, Workshop, Exhibition, Back-Up Classes, Practice session... ETC
  • Provide Exam Preparations to the Student
  • Our trainer will also help to crack your interview.
  • Job assistance facility for our student is also available
  • Provides online as well as classroom training.
  • Provides More Opportunity for future

Contact Us

Call US:- +91 8800272669
                +91 7065818639

Email:-info@krnetworkcloud.org

www.krnetworkcloud.org

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