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What Is CCNP ? Why You Should Do It From Uncodedmy ?

CCNP stands for Cisco Certified Network Professional. It is a certification program offered by Cisco Systems, a leading provider of networking technologies. The CCNP certification validates a network professional's skills in installing, configuring, and troubleshooting local and wide-area enterprise networks.

The CCNP certification is aimed at network professionals with at least one year of experience who are ready to advance their skills and work independently on complex network solutions. It builds upon the skills and knowledge acquired in the Cisco Certified Network Associate (CCNA) certification and covers more advanced networking concepts.

The CCNP certification program includes several specialty tracks, such as CCNP Enterprise, CCNP Security, CCNP Data Center, CCNP Service Provider, and CCNP Collaboration. Each track consists of several exams that test the candidate's knowledge and skills in specific areas of networking.

The CCNP certification is globally recognized and can lead to career advancement opportunities in network administration, support, and engineering roles. It demonstrates a high level of competence and expertise in networking and can also serve as a prerequisite for higher-level certifications, such as the Cisco Certified Internetwork Expert (CCIE).

Uncodemy's reputation as one of the premier CCNP training institutes in Noida, located in Delhi NCR, India, is well-earned. The institute's partnerships with Fortune 500 companies and renowned MNCs guarantee that students are taught by the best and brightest industry experts, who not only possess expert teaching abilities, but also have the real-world experience necessary to guide students in developing the confidence and skills needed to thrive in the competitive IT industry.

If you're a newbie looking for CCNP training for beginners in Noida, Uncodemy's got you covered with the following CCNP course benefits in Noida-

  • Well equipped labs
  • Content libraries
  • Regular webinars
  • 24/7 Availability of tutors
  • Special batches for working students, flexible schedules.
  • Affordable Bootcamps.
  • 100% placement guarantee.
  • Globally recognised certifications.
  • Working Mentors from CCNP industries.
  • Certified courses of CCNP to help you become a skilled professional.
  • Option to choose from online and offline classroom or sessions.
  • Special batches for working or busy students.
  • Multiple live projects.
  • Paid internships and certificates after completion.
  • One time investment, lifetime validity.
  • Experience letter.
Remarkable Features Of Uncodemy

For those seeking to enhance their CCNP skills, Uncodemy's CCNP training in Noida is an opportunity not to be missed. The institute's mentors are highly experienced professionals from renowned MNCs and promising startups gaining recognition in the industry. At a fraction of the cost, students can receive world-class training from industry leaders, equipping them with the skills to advance their careers in CCNP. Here are some compelling reasons to choose Uncodemy's CCNP training in Noida:

100% placement guarantee.
Affordable Bootcamps.
Globally recognised certifications.
Flexible schedules.
Special batches for working or busy students.
Option to choose from online and offline classroom or sessions.
One on one sessions for efficient learning.
Multiple live projects.
Paid internships and certificates after completion.
Certified course of CCNP to help you become a skilled professional.
Working Mentors from CCNP industries.
Experience letter.
Q/A after every session.
Chat with the tutors anytime.
One time investment, lifetime validity.

Curriculums for CCNP Training Course in Noida

CCNP Curriculum

The curriculum has been designed by faculty from IITs, and Expert Industry Professionals.


Hours of Content


Live Sessions


Tools and Software

Set the Basics Right

Data science is the domain of study that deals with vast volumes of data using modern tools and techniques to find unseen patterns, derive meaningful information, and make business decisions. For example, finance companies can use a customer's banking and bill-paying history to assess creditworthiness and loan risk.

Data science course provider of Noida called Uncodemy offers a curriculum that contains following courses to strengthen your skill in data science-

1. Python for Data Science

  • Need for Programming
  • Advantages of Programming
  • Overview of Python
  • Organizations using Python
  • Python Applications in Various Domains
  • Python Installation
  • Variables
  • Operands and Expressions
  • Conditional Statements
  • Loops
  • Command Line Arguments
  • Method of Accepting User Input and eval Function
  • Python - Files Input/Output Functions
  • Lists and Related Operations
  • Tuples and Related Operations
  • Strings and Related Operations
  • Sets and Related Operations
  • Dictionaries and Related Operations
  • User-Defined Functions
  • Concept of Return Statement
  • Concept of name =” main ”
  • Function Parameters
  • Different Types of Arguments
  • Global Variables
  • Global Keyword
  • Variable Scope and Returning Values
  • Lambda Functions
  • Various Built-In Functions
  • Introduction to Object-Oriented Concepts
  • Built-In Class Attributes
  • Public, Protected and Private Attributes, and Methods
  • Class Variable and Instance Variable
  • Constructor and Destructor
  • Decorator in Python
  • Core Object-Oriented Principles
  • Inheritance and Its Types
  • Method Resolution Order
  • Overloading
  • Overriding
  • Getter and Setter Methods
  • Inheritance-In-Class Case Study
  • Standard Libraries
  • Packages and Import Statements
  • Topics : Working with Modules and Handling Exceptions
  • Info@uncodemy.com | +91-7701928515 | www.uncodemy.com
  • Reload Function
  • Important Modules in Python
  • Sys Module
  • Os Module
  • Math Module
  • Date-Time Module
  • Random Module
  • JSON Module
  • Regular Expression
  • Exception Handling
  • Basics of Data Analysis
  • NumPy - Arrays
  • Operations on Arrays
  • Indexing Slicing and Iterating
  • NumPy ArrayAttributes
  • Matrix Product
  • NumPy Functions
  • Functions
  • Array Manipulation
  • File Handling Using NumPy
  • Array Creation and Logic Functions
  • File Handling Using Numpy
  • Introduction to pandas
  • Data structures in pandas
  • Series
  • Data Frames
  • Importing and Exporting Files in Python
  • Basic Functionalities of a Data Object
  • Merging of Data Objects
  • Concatenation of Data Objects
  • Types of Joins on Data Objects
  • Data Cleaning using pandas
  • Exploring Datasets
  • 2. Data Science Primer and Statistics

  • What is Data Science?
  • What does Data Science involve?
  • Era of Data Science
  • Business Intelligence vs Data Science
  • Life cycle of Data Science
  • Tools of Data Science
  • Application of Data Science
  • Introduction
  • Stages of Analytics
  • CRISP DM Data Life Cycle
  • Data Types
  • Introduction to EDA
  • First Business Moment Decision
  • Second Business Moment Decision
  • Third Business Moment Decision
  • Fourth Business Moment Decision
  • Correlation
  • What is Feature
  • Feature Engineering
  • Feature Engineering Process
  • Benefit
  • Feature Engineering Techniques
  • Basics Of Probability
  • Discrete Probability Distributions
  • Continuous Probability Distributions
  • Central Limit Theorem
  • Concepts Of Hypothesis Testing - I: Null And Alternate Hypothesis, Making
  • A Decision, And Critical Value Method
  • Concepts Of Hypothesis Testing - II: P-Value Method And Types Of Errors
  • Industry Demonstration Of Hypothesis Testing: Two-Sample Mean And
  • Proportion Test, A/B Testing
  • 3. Machine Learning

  • Simple Linear Regression
  • Simple Linear Regression In Python
  • Multiple Linear Regression
  • Multiple Linear Regression In Python
  • Industry Relevance Of Linear Regression
  • Simple Linear Regression
  • Simple Linear Regression In Python
  • Multiple Linear Regression
  • Multiple Linear Regression In Python
  • Industry Relevance Of Linear Regression
  • Univariate Logistic Regression
  • Multivariate Logistic Regression: Model
  • Building And Evaluation
  • Logistic Regression:
  • Industry Applications
  • Data mining classifier technique
  • Application of KNN classifier
  • Lazy learner classifier
  • Altering hyperparameter(k) for better accuracy
  • Black box
  • SVM hyperplane
  • Max margin hyperplane
  • Kernel tricks for non linear spaces
  • Rule based classification method
  • Different nodes for develop decision trees
  • Discretization
  • Entropy
  • Greedy approach
  • Information gain
  • Challenges with standalone model
  • Reliability and performance of a standalone model
  • Homogeneous & Heterogeneous Ensemble Technique
  • Bagging & Boosting
  • Random forest
  • Stacking
  • Voting & Averaging technique
  • Difference between cross sectional and time series data
  • Different component of time series data
  • Visualization techniques for time series data
  • Model based approach
  • Data driven based approach
  • Difference between Supervised and Unsupervised Learning
  • Prelims of clustering
  • Measuring distance between record and groups
  • Linkage functions
  • Dendrogram
  • Dimension reduction
  • Application of PCA
  • PCA & its working
  • SVD & its working
  • Point of Sale
  • Application of Association rules
  • Measure of association rules
  • Drawback of measure of association rules
  • Condition probability
  • Lift ratio
  • 4. Deep Learning

  • Black box techniques
  • Intution of neural networks
  • Perceptron algorithm
  • Calculation of new weights
  • Non linear boundaries in MLP
  • Integration function
  • Activation function
  • Error surface
  • Gradient descent algo
  • Imagenet classification challenges
  • Convolution network applications
  • Challenges in classifying the images using MLP
  • Parameter explosion
  • Pooling layers
  • Fully connected layers
  • Alexnet case study
  • Modelling sequence data
  • Vanishing/Gradient descent explode
  • What is a Deep Learning Platform?
  • H2O.ai
  • Dato GraphLab
  • What is a Deep Learning Library?
  • Theano
  • Deeplearning4j
  • Torch
  • Caffe
  • 5. Data Visualization and Story Telling

  • Bar Charts
  • Histograms
  • Pie Charts
  • Box Plots
  • Scatter Plots
  • Line Plots and Regression
  • Pair plot
  • Word Clouds
  • Radar Charts
  • Waffle Charts
  • 6. Natural Language Processing

  • Text data generating sources
  • How to give structure to text structure using bag of words
  • Terminology used in text data analysis
  • DTM & TDM
  • TFIDF & its usage
  • Word cloud and its interpretation
  • 7. SQL

  • Introduction to Databases
  • How to create a Database instance on Cloud?
  • Provision a Cloud hosted Database instance.
  • What is SQL?
  • Thinking About Your Data
  • Relational vs. Transactional Models ER Diagram
  • CREATE Table Statement and DROP tables
  • UPDATE and DELETE Statements
  • Retrieving Data with a SELECT Statement
  • Creating Temporary Tables
  • Adding Comments to SQL
  • Basics of Filtering with SQL
  • Advanced Filtering: IN, OR, and NOT
  • Using Wildcards in SQL
  • Sorting with ORDER BY
  • Math Operations
  • Aggregate Functions
  • Grouping Data with SQL
  • Using Subqueries
  • Subquery Best Practices and Considerations
  • Joining Tables
  • Cartesian (Cross) Joins
  • Inner Joins
  • Aliases and Self Joins
  • Advanced Joins: Left, Right, and Full Outer Joins
  • Unions
  • Working with Text Strings
  • Working with Date and Time Strings
  • Date and Time Strings Examples
  • Case Statements
  • Views
  • Data Governance and Profiling
  • Using SQL for Data Science
  • How to access databases using Python?
  • Writing code using DB-API
  • Connecting to a database using DB API
  • Create Database Credentials
  • Connecting to a database instance
  • Creating tables, loading, inserting, data and querying data
  • Analysing data with Python
  • 8. Excel

  • Input data & handling large spreadsheets
  • Tricks to get your work done faster
  • Automating data analysis (Excel VLOOKUP, IF Function, ROUND and more)
  • Transforming messy data into shape
  • Cleaning, Processing and Organizing large data
  • Spreadsheet design principles
  • Drop-down lists in Excel and adding data validation to the cells.
  • Creating Charts & Interactive reports with Excel Pivot Tables, PivotCharts, Slicers and Timelines
  • Functions like: - COUNTIFS, COUNT, SUMIFS, AVERAGE and many more.
  • Excel features: - Sort, Filter, Search & Replace Go to Special etc...
  • Importing and Transforming data (with Power Query)
  • Customize the Microsoft Excel interface
  • Formatting correctly for professional reports.
  • Commenting on cells.
  • Automate data entry with Autofill and Flash-fill.
  • Writing Excel formulas & referencing to other workbooks / worksheets.
  • Printing options
  • Charts beyond column and bar charts: - Pareto chart, Histogram, Treemap, Sunburst
  • charts & more
  • 9. TABLEAU

  • Introduction to Data Visualization
  • Tableau Introduction and Tableau Architecture
  • Exploring Data using Tableau
  • Working with Data using Tableau including Data Extraction and
  • Blending
  • Various Charts in Tableau(Basics to Advanced)
  • Sorting-Quick Sort, Sort from Axis, Legends, Axis, Sort by Fields
  • Filtering- Dimension Filters, Measure Filters, Date Filters, Tableau
  • Context Filters
  • Groups , Sets and Combined Sets
  • Reference Lines, Bands and Distribution
  • Parameters, Dynamic Parameters and Actions
  • Forecasting-Exponential Smoothening Techniques
  • Clustering
  • Calculated Fields in Tableau, Quick Tables
  • Tableau Mapping Features
  • Tableau Dashboards, Dashboards Action and Stories
  • Get Cosmopolitan Certifications With Uncodemy

    Uncodemy's partnerships with esteemed organizations in the industry allow them to provide students with unparalleled access to some of the most accomplished trainers in the field. Upon successful completion of the CCNP certification course in Noida, participants will receive certificates in association with the following highly regarded organizations:

    • ISO
    • Skill India
    Tools and Technologies covered
    • ExcelExcel
    • TableauTableau
    • Power-BI-SymbolPower-Bi
    • ggplotggplot
    • JupyterJupyter
    • Numpy Numpy
    • PythonPython
    • PandasPandas
    • Seaborn Seaborn
    • lookerLooker
    • Matplotlib-logoMatplotlib
    • PyCharmPyCharm
    • Google ColabGoogle Colab
    • AnacondaAnaconda
    • Scikit-learnScikit-learn
    • SQLSQL
    • MySqlMySql
    • PostgreSQLPostgreSQL
    • MLML
    • Deep LearningDeep Learning
    • NLPNLP
    Ace Your Interview With Uncodemy

    Alongside their stellar CCNP training in Noida, Uncodemy equips students with the latest interview preparation strategies, providing them with the following resources:

    Know Uncodemy more-

    Uncodemy is not just all talk, but delivers on their promises. Many of their former students, who have completed their CCNP certification training in Noida, have achieved success in their careers with companies renowned for their strong growth trajectory. However, before selecting an CCNP course in Noida, it is essential to conduct thorough research and select a reputable training institute. Here are some key CCNP courses benefits in Noida that are worth considering:

    For a reason Uncodemy, is the best CCNP Training Institute in Noida, based out of Delhi NCR, India. Tutors employed in Uncodemy are from suppositious MNC’s to Startup’s that are well-thought of and are on the path of becoming the next big name.

    Uncodemy tied itself with Fortune 500 to have the finest experts to level up your game to become the next CCNP by providing personalised grooming sessions.

    Working Students and the students who are far residing can go for live sessions or online mode of classes, which are no different from the regular classroom training.

    Uncodemy understands its responsibility to provide the best CCNP training in Noida, by offering a provision of special batches to the students who want to start their professional journey ASAP.

    Apart from CCNP, Uncodemy also provides comprehensive courses of Data Science, Data Analytics, Full Stack Development, Python, Software Testing, Automation Testing, Business Analytics, Digital Marketing, AWS, Cloud Computing, Azure Training, Artificial Intelligence, Machine Learning, Manual Testing and Search Engine Optimisation.

    With Uncodemy, one can be easily placed in the companies like CISCO, Adobe, McKinsey and company, Teleperformance (each interaction matters), AWS, Collabera, Walmart, NTT Data, Deloitte, IBM, Capgemini, Centurylink, Quick Heal (security simplified), Morgan Stanley etc.

    5/5 1550- Google Reviews
    4.9/5 1250- Sulekha Reviews
    4.9/5 1310- Just Dial Reviews
    4.9/5 1250- Facebook Reviews
    4.9/5 1450- Urbanpro Reviews
    4.9/5 1350- Trustindex Reviews

    Access unparalleled learning with live sessions, recordings, assignments, and live projects led by a top-tier mentor and industry expert trainer. Elevate your skills with the best-in-class educational content.