Data science course in Mumbai

Data science course in Mumbai

Mrwebsecurity

Data Science

Ethical hacking is well known course in IT Security Industry. Currently there are more than 1L jobs available related to cyber security in India. Grab this Opportunity to Get started your Career as Cyber Security or Ethical Hacking Expert.

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Learning Format

80% Practical

Lifetime Portal Access

Lifetime Free Video 

Asia’s Most Advance

Course Content

EMI options

3|6|9|12 EMI

Global Certificate

ISO Certified

About the Program

The program aims at helping you gain expertise and knowledge in Cyber Security. The Encryptic Security faculty will help you cover all the required Cyber Security skills such as cryptography, ethical hacking, application security, etc. Also, you will get to master tools such as Linux, SQL, Nikto, and Microsoft Baseline, among others.

Key Highlights

About Encryptic Security

Encryptic Security is one of the top Ethical hacking course insitute in Mumbai . Encryptic security also conduct training on Ethical hacking course | Data science course in Mumbai | Digital Marketing Course in Mumbai . Encryptic security has won many awards for Best Ethical Hacking Training institute in Mumbai. Top 10 Education Training institue in mumbai.

Achievements- Encryptic Security

Upon the completion of this program, you will receive:

Who can apply for this program?

What roles can a Data scientist professional play?

Data scientist

Design and implement scalable codes alongside  effectively developing high quality applications.

Security Engineer

These professionals perform security monitoring and investigations and utilize new technologies and processes to enhance security capabilities.

Cryptographer

They use encryption to secure information or build security software. They can also develop stronger encryption algorithms.

Security Architect

Design and implement scalable codes alongside effectively developing high-quality applications.

 

Security Administrator

These professionals Install and manage organization-wide security systems.

Security Software Developer

They develop security software and integrate or implement security into applications software.

Skills to Master

Python

Data Science

AI

Machine Learning

Data Visualisation

Pyspark

Tools to Master

Meet Your Mentors

Reviews

5
5/5
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Our Alumni Works At

We Tied-up With 190+ Leading Companies For Placement.

Curriculum

  • Introduction
  • Flow Controllers
  • Modules
  • Functions
  • File Handling
  • Oops Concepts
  • Multi-Threading
  • GUI Programming
  • Component and events
  • N/w Programming
  • String Handling
  • Operators
  • Collections
  • Packages
  • List, Tuples And Dictionaries
  • Regular Expressions
  • Database Access
  • Introduction to RDBMS
  • Installation of MySQL Python Modules
  • Working with csv , xml and Json files
  • Introduction
  • Array indexing
  • Array math
  • Introduction to Pandas
  • Series object
  • Built in functions
  • Working With Text
  • String Methods
  • Working With Group
  • pd.concat()
  • Arrays
  • Data types
  • Useful functions in Numpy
  • Installations
  • Attributes of series
  • Introduction to Data Frames
  • Filtering Data Frames
  • Filtering with String
  • Handling missing values
  • Joins
  • Introduction to R
  • Installation and use of software
  • Data input/output
  • Data types and variables
  • Operators in R
  • Conditional executions
  • loops
  • Vectorization
  • Lists Operations
  • Matrices
  • Factors
  • DataFrames
  • Importing and exporting data to/from external sources
  • Data Manipulation with bindings
  • Functions
  • Statistical Concepts
  • Mean, Median Mode
  • Variance, Standard Deviation
  • Working with messy data
  • Data querying: SQL and R
  • Data Visualisation in R using GGPlot2
  • Box Plot,Histograms,Scatter Plotter,Line chart,Bar Chart
  • Introduction to DBMS
  • Introduction to SQL
  • DDL and DML Statements
  • Working with Constraints
  • Implementing Views
  • Working with Indexes
  • Implementing Triggers
  • Working with Queries (DQL)
  • Aggregate Functions
  • Joins and Set Operations
  • Implementation of Data integrity
  • Data Control language (DCL)
  • Working with Stored Procedures
  • Working With Functions
  • Introduction to NOSQL Databases
  • Installing MongoDB
  • Creating documents
  • Updating documents
  • Deleting documents
  • Selecting data
  • Using index
  • Types of index
  • Operators
  • Concept of replication
  • Connecting with mongoservers
  • Replication handon
  • Concept of sharding
  • Sharding hands on
  • History of machine learning
  • Concept of machine learning
  • application of ml
  • types of ml algorithm
  • Different types of Regression
  • Linear Regression
  • Logistic Regression
  • Decision tree Algorithms
  • Classification problems
  • KNN Classification
  • SVM Classification
  • Unsupervised learning
  • k-means clustering
  • Overfitting / Underfitting
  • performance matrix
  • introduction to data mining
  • Downloading Tableau Public
  • Understanding Tableau Interface
  • Connecting with Datasets
  • Plotting Simple Charts
  • Mapping in Tableau
  • Joining Dataset
  • Sorting Data
  • Histogramss
  • Applying Filters
  • Calculation in Tableau
  • Table Calculation
  • Using Inbuilt Functions
  • Creating Calculated Fields
  • Formatting
  • Creating Story
  • Creating Dashboards
  • Introduction to Big Data and Analytics
  • Structured and Unstructured
  • Big Data Characteristics
  • Evolution – Definition – Challenges with Big Data
  • Traditional approaches vs big data
  • Why Big Data
  • Introduction To Technology Landscape
  • NoSQL
  • Hadoop
  • Spark
  • Introduction to Big Data and Analytics
  • Structured and Unstructured
  • Big Data Characteristics
  • Evolution – Definition – Challenges with Big Data
  • Traditional approaches vs big data
  • Why Big Data
  • Introduction To Technology Landscape
  • NoSQL
  • Hadoop
  • Spark
  • Introduction to Data Analysis with Spark
  • Who Uses Spark, and for What?
  • Spark Framework
  • Spark Architecure
  • RDDs (Resilient Distributed Datasets)
  • RDD Lineage
  • Implementing Triggers
  • Transformations
  • Actions
  • Introduction to Spark SQL
  • Using Spark SQL
  • Processing Live Data with spark streaming
  • Using netcat
  • DataFrames in spark
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Frequently Asked Questions

You can Start with basic course like CEH v11 From Ec Council then move ahead with Penetration Testing course.

The basic salary for ethical hacker or Ethical Hacking Expert Ranges From 2.4LPA to 6LPA.

In order to complete ethical Hacking course Graduation is not Mandatory but if you want to get a job in MNC Companies then it is Mandatory.

You should start your Ethical Hacking Journey with CEH v11 then Move Ahead with Penetration testing

Android PT

Network Security 

Exploit Development

Bug bounty Hunting.

Yes we Have Flexible Batch options for your need. to get exact batch details do call 7071777789

You can Start with basic course like CEH v11 From Ec Council then move ahead with Penetration Testing course.

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