Data science course in Mumbai
August 8, 2022 2022-08-16 12:59Data 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.
Only Few Seats Left
Learning Format
80% Practical
Lifetime Portal Access
Lifetime Free VideoÂ
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
- 600 Hrs of Applied Learning
- Learn from Industry Experts
- One-on-One with Industry Mentors
- Dedicated Learning Manager
- Soft Skills Essential Training
- EMI Option Available
- Career Assistance by Mrwebsecurity
- 100+ Live sessions across 6 months
- 50+ Industry Projects & Case Studies
- 24*7 Support
- Designed for working Professionals & Fresher's
- Global Certification
- Guaranteed Placement Assistance
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
- Top 10 Educational Brand of 2022
- Millennium Brilliance Awards 2021
- Entrepreneur of the year Award 2022
Upon the completion of this program, you will receive:
- Advanced Diploma Certification from MrwebSecurity
Who can apply for this program?
- Anyone with a Bachelor’s degree
- Anyone in their last year of their Bachelor’s program
- IT professionals with a Bachelor’s degree
- Freshers willing to pursue advanced training in this domain
- Anyone aspiring to pursue Cyber Security
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
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
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 SecurityÂ
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.
