Learn the fundamental data science concepts. Join today to become a competent data science expert.
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Corporate Served- Data Science is a powerful analytics platform to make discoveries. And the Data Science experts are like gladiators who have the right experience to protect their companies from zillions of things. In other words, data scientists are the walking databases having all vital business insights that are needed by Companies from time to time. Today, there is a dire need for data scientists, data analysts across the world and it is a promising career option too for serious learners.
- But the question is where to get the basic Data Science skills. Well, you can learn on your own or join a paid training program, the choice is yours. We strongly recommend opting for the Data Science Course in Noida with Placement and Certification and gain all required skills in no time.
- The focus of Data Science Course in Noida is to make you proficient enough in using different aspects of computer science, data visualizations, data analytics, statistics, R and Python Programming in data science, so that you may convert voluminous data into meaningful contents.
- Also, get a depth idea of machine learning, AI, deep learning, Big Data Hadoop, Tableau, etc at the advanced level. Being the top Data Science institute in Noida, we put maximum effort to make you an established Data scientist and claim for huge salary lumps too while working with leading industries.
Data Science Course in Noida
- A Data Science Course typically aims to equip students with a comprehensive understanding of the principles, techniques, and tools used in the field of data science. Here are some common objectives of such a course:
The objective of the Data Science Course in Noida with placement is to deliver comprehensive training that is suitable to learn all the concepts from basic to the advanced level.
Prepares you to work with the structured and unstructured data in the basic to a complex business environment where you can help businesses in making informed decisions.
Being the reputed Institute for Data Scientist Course in Noida, we impart you every data science skill, right from using the tools to algorithms, creative complex data models, realizing business needs, and analyze the given data to drive meaningful insights from it.
Moving ahead, you will learn different aspects of computer science, data visualization, data analytics, statistics, R and Advanced Python Programming in data science, etc.
You will also get a depth idea of machine learning, AI, deep learning, Big Data Hadoop, Tableau, etc at the advanced level.
This Data Science Training Course will help you to deliver core intellectual skills along with communication skills and analytical skills that will make you confident enough to manage tough business requirements.
- According to the latest study by McKinsey Global Institute, there is a deficiency of 2 lac data science experts with profound logical abilities. And the demand for skilled experts will continue to increase for the next many years to come.
- People who are currently working in the data science domain are sure to see a certain increment in their current salary packages. If you also want to earn good and looking to start a career in the Data Science space, start with the Data Science Training in Noida and make yourself eligible to earn huge salary lumps.
- As the top institute for Data Science Training in Noida, we help you to maintain a gradual career growth on the completion of the Data Science Certification Course. Also, we strongly recommend you to complete at least one certification exam to earn a little extra as a certified data science professional.
The average salary of a Data science expert is $139K as per Indeed.
The average salary of a Data science expert is $113K as per Glassdoor.
The average salary of a Data science expert is $100K as per PayScale.
- The job-oriented Data Science Training Program in Noida covers all necessary data science aspects in-depth and makes you industry-ready to implement those aspects practically. Also, our data science expert team will guide you to earn certifications and get hired by leading industries worldwide.
- On the successful completion of the Data Science Course in Noida with Placement, you will find yourself more eligible to apply for various jobs in the domain and get hired. Also, you will gain enough skills to apply for the certification exam and get certified. Most importantly, you will have strong roots in the IT industry convince leading industries to pay as much you desire.
- Data science is the optimum path to the future and a revolutionary career option too that is used across industries worldwide. During the last few years, it has emerged as the most sought-after career option too. Today, almost every industry release voluminous data every day that needs to be taken care of wisely to drive meaningful data from it. This is the reason why companies are always in search of a skilled professional who could manage and transform data efficiently.
- From healthcare to telecom, education sector, eCommerce industry, the presence of data science can be realized all around. So, it would not be saying wrong that Data Science is one of the most lucrative career options available so far with multiple data analytics roles. And it is really interesting knowing how data scientists are changing the world around us.
- Moving ahead, let us see some interesting facts about why exactly is it the hottest career option these days and why should you consider Data Scientist Course in Noida.
- Being a trusted institute for Data Science Training in Noida, our team is strongly committed to delivering all essential skills that are taken essentials to start a career in the Data Science space. Also, you will find yourself more established, confident, and competent in a short period on the completion of the Data science training in Noida.
#1 Skill in the IT industry with an average salary of $106K per year.
190K jobs are predicted by the next year.
The Data Science industry is expected to touch $16 Billion by 2025
Thousands of students have already taken the Data Science certification course and placed with Top MNC
Almost every IT industry is looking for skilled Data Science professionals.
- The Data Science Course in Noida is suitable for a wide range of individuals who are interested in building their skills and information in the field of Data Science. Well, individuals who want to kick-start their career in data science and want to acquire the necessary skills and knowledge to work in this domain professionally should take up the Data Science Training in Noida respectively.
- By taking up the Data Science Course, you will be suitable for
Data Scientist
Data Analyst
Machine Learning Engineer
Data Engineer
Business Analyst
Data Architect
Data Visualization Specialist
Entrepreneurs
Researchers & Academicians
- To learn Data Science with Live Project, you need to follow some learning steps. Start a Data Science course in Noida from scratch, enrol in a comprehensive Data Science Training in Noida, identify a relevant project, accumulate and preprocess data, imply the latest data science techniques, and express your findings. By combining theoretical knowledge with practical application through a live project, you can enhance your learning experience in data science. This hands-on approach will not only deepen your understanding of the Data Science course in Noida but also equip you with the skills necessary to handle real-world data science challenges.
- On the completion of Data Scientist Course in Noida, you are eligible to work on various Data Science roles that include Business Intelligence Analyst, Data Mining Engineer, Data Architect, Data Scientist, Senior Data Scientist, and more. Each of the roles has its own roles and responsibilities. Let us see a few common job duties that remain the same instead of the role.
- With this discussion, you must have a sound idea of job roles and responsibilities in Data Science. As the eminent Data Science Training Institute in Noida, we prepare to handle all these duties more effectively and provide 100 percent placement assistance too.
To design algorithms and patterns to manage, process, and access data from multiple sources in different formats.
You will learn using statistical programming languages like R or Python to process data into meaningful content.
You have to perform data analysis, data congestion, data filtration, data mapping, drawing conclusions, etc.
You should how to use big data tools like Hadoop, Hive, MapReduce, etc.
You are held responsible to manage complex data models using machine learning, AI, deep learning, etc.
Take the position of a thought leader and bring communication skills with the statical team to implement advanced data analytics skills.
- The top hiring industries in Data Science include IBM, Accenture, Amazon, Flipkart, Snapdeal, Microsoft, Google, Infosys, NETFLIX, FEDEX, American Express, and more.
- And the Industry-Domain you can work in, as a Data Scientist on the successful completion of Data Science Course in Noida includes, IT Sector, Healthcare and Medical Sector, Banking & Finance, Transportation, Travel Industry, eCommerce, Media & Entertainment, Non-Profit Industries, Insurance Sector, etc.
- As the best Data Science institute in Noida, we prepare you for all these industries and make you eligible for the various industry domains too. We assure you that you will feel more confident and able to crack interviews in the first attempt mostly.
- Also, we provide 100 percent placement assistance, resume building guide, and important steps to prepare for an interview that includes a set of Data Science interview questions answers too.
- In the end, you will get a training certificate on the successful completion of the course from Data Science Training Institute in Noida. Your skills are evaluated at different levels and you have to complete assignments and projects to get this certificate.
- It does not matter where you currently stand in your IT career, it is always good moving ahead with a thoughtful career plan in your mind. So, hurry up and catch the data science express before it is too late with our comprehensive Data Science Training in Noida.
- You May Also Read:
Why should You learn Data Science Course?
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CURRICULUM & PROJECTS
Data Science Certification Training
- Creation of Excel Sheet Data
- Range Name, Format Painter
- Conditional Formatting, Wrap Text, Merge & Centre
- Sort, Filter, Advance Filter
- Different type of Chart Creations
- Auditing, (Trace Precedents, Trace Dependents)Print Area
- Data Validations, Consolidate, Subtotal
- What if Analysis (Data Table, Goal Seek, Scenario)
- Solver, Freeze Panes
- Various Simple Functions in Excel(Sum, Average, Max, Min)
- Real Life Assignment work
- Advance Data Sorting
- Multi-level sorting
- Restoring data to original order after performing sorting
- Sort by icons
- Sort by colours
- Lookup Functions
- Lookup
- VLookup
- HLookup
- Subtotal, Multi-Level Subtotal
- Grouping Features
- Column Wise
- Row Wise
- Consolidation With Several Worksheets
- Filter
- Auto Filter
- Advance Filter
- Printing of Raw & Column Heading on Each Page
- Workbook Protection and Worksheet Protection
- Specified Range Protection in Worksheet
- Excel Data Analysis
- Goal Seek
- Scenario Manager
- Data Table
- Advance use of Data Tables in Excel
- Reporting and Information Representation
- Pivot Table
- Pivot Chat
- Slicer with Pivot Table & Chart
- Generating MIS Report In Excel
- Advance Functions of Excel
- Math & Trig Functions
- Text Functions
- Lookup & Reference Function
- Logical Functions & Date and Time Functions
- Database Functions
- Statistical Functions
- Financial Functions
- Functions for Calculation Depreciation
- SQL Server 2019 Installation
- Service Accounts & Use, Authentication Modes & Usage, Instance Congurations
- SQL Server Features & Purpose
- Using Management Studio (SSMS)
- Conguration Tools & SQLCMD
- Conventions & Collation
- SQL Database Architecture
- Database Creation using GUI
- Database Creation using T-SQL scripts
- DB Design using Files and File Groups
- File locations and Size parameters
- Database Structure modications
- SQL Server Database Tables
- Table creation using T-SQL Scripts
- Naming Conventions for Columns
- Single Row and Multi-Row Inserts
- Table Aliases
- Column Aliases & Usage
- Table creation using Schemas
- Basic INSERT
- UPDATE
- DELETE
- SELECT queries and Schemas
- Use of WHERE, IN and BETWEEN
- Variants of SELECT statement
- ORDER BY
- GROUPING
- HAVING
- ROWCOUNT and CUBE Functions
- Table creation using Constraints
- NULL and IDENTITY properties
- UNIQUE KEY Constraint and NOT NULL
- PRIMARY KEY Constraint & Usage
- CHECK and DEFAULT Constraints
- Naming Composite Primary Keys
- Disabling Constraints & Other Options
- Benets of Views in SQL Database
- Views on Tables and Views
- SCHEMA BINDING and ENCRYPTION
- Issues with Views and ALTER TABLE
- Common System Views and Metadata
- Common Dynamic Management views
- Working with JOINS inside views
- Need for Indexes & Usage
- Indexing Table & View Columns
- Index SCAN and SEEK
- INCLUDED Indexes & Usage
- Materializing Views (storage level)
- Composite Indexed Columns & Keys
- Indexes and Table Constraints
- Primary Keys & Non-Clustered Indexes
- Why to use Stored Procedures
- Types of Stored Procedures
- Use of Variables and parameters
- SCHEMABINDING and ENCRYPTION
- INPUT and OUTPUT parameters
- System level Stored Procedures
- Dynamic SQL and parameterization
- Scalar Valued Functions
- Types of Table Valued Functions
- SCHEMABINDING and ENCRYPTION
- System Functions and usage
- Date Functions
- Time Functions
- String and Operational Functions
- ROW_COUNT
- GROUPING Functions
- Why to use Triggers
- DML Triggers and Performance impact
- INSERTED and DELETED memory tables
- Data Audit operations & Sampling
- Database Triggers and Server Triggers
- Bulk Operations with Triggers
- Cursor declaration and Life cycle
- STATIC
- DYNAMIC
- SCROLL Cursors
- FORWARD_ONLY and LOCAL Cursors
- KEYSET Cursors with Complex SPs
- ACID Properties and Scope
- EXPLICIT Transaction types
- IMPLICIT Transactions and options
- AUTOCOMMIT Transaction and usage
- Overview of BI concepts
- Why we need BI
- Introduction to SSBI
- SSBI Tools
- Why Power BI
- What is Power BI
- Building Blocks of Power BI
- Getting started with Power BI Desktop
- Get Power BI Tools
- Introduction to Tools and Terminology
- Dashboard in Minutes
- Interacting with your Dashboards
- Sharing Dashboards and Reports
- Power BI Desktop
- Extracting data from various sources
- Workspaces in Power BI
- Data Transformation
- Query Editor
- Connecting Power BI Desktop to our Data Sources
- Editing Rows
- Understanding Append Queries
- Editing Columns
- Replacing Values
- Formatting Data
- Pivoting and Unpivoting Columns
- Splitting Columns
- Creating a New Group for our Queries
- Introducing the Star Schema
- Duplicating and Referencing Queries
- Creating the Dimension Tables
- Entering Data Manually
- Merging Queries
- Finishing the Dimension Table
- Introducing the another DimensionTable
- Creating an Index Column
- Duplicating Columns and Extracting Information
- Creating Conditional Columns
- Creating the FACT Table
- Performing Basic Mathematical Operations
- Improving Performance and Loading Data into the Data Model
- Introduction to Modelling
- Modelling Data
- Manage Data Relationship
- Optimize Data Models
- Cardinality and Cross Filtering
- Default Summarization & Sort by
- Creating Calculated Columns
- Creating Measures & Quick Measures
- What is DAX
- Data Types in DAX
- Calculation Types
- Syntax, Functions, Context Options
- DAX Functions
- Date and Time
- Time Intelligence
- Information
- Logical
- Mathematical
- Statistical
- Text and Aggregate
- Measures in DAX
- Measures and Calculated Columns
- ROW Context and Filter Context in DAX
- Operators in DAX - Real-time Usage
- Quick Measures in DAX - Auto validations
- In-Memory Processing DAX Performance
- How to use Visual in Power BI
- What Are Custom Visuals
- Creating Visualisations and Colour Formatting
- Setting Sort Order
- Scatter & Bubble Charts & Play Axis
- Tooltips and Slicers, Timeline Slicers & Sync Slicers
- Cross Filtering and Highlighting
- Visual, Page and Report Level Filters
- Drill Down/Up
- Hierarchies and Reference/Constant Lines
- Tables, Matrices & Conditional Formatting
- KPI's, Cards & Gauges
- Map Visualizations
- Custom Visuals
- Managing and Arranging
- Drill through and Custom Report Themes
- Grouping and Binning and Selection Pane, Bookmarks & Buttons
- Data Binding and Power BI Report Server
- Why Dashboard and Dashboard vs Reports
- Creating Dashboards
- Conguring a Dashboard Dashboard Tiles, Pinning Tiles
- Power BI Q&A
- Quick Insights in Power BI
- Custom Data Gateways
- Exploring live connections to data with Power BI
- Connecting directly to SQL Server
- Connectivity with CSV & Text Files
- Excel with Power BI Connect Excel to Power BI, Power BI Publisher for Excel
- Content packs
- Update content packs
- Introduction and Sharing Options Overview
- Publish from Power BI Desktop and Publish to Web
- Share Dashboard with Power BI Service
- Workspaces (Power BI Pro) and Content Packs (Power BI Pro)
- Print or Save as PDF and Row Level Security (Power BI Pro)
- Export Data from a Visualization
- Export to PowerPoint and Sharing Options Summary
- Understanding Data Refresh
- Personal Gateway (Power BI Pro and 64-bit Windows)
- Replacing a Dataset and Troubleshooting Refreshing
- Installation and Working with Python
- Understanding Python variables
- Python basic Operators
- Understanding the Python blocks.
- Python Comments, Multiline Comments.
- Python Indentation
- Understating the concepts of Operators
- Arithmetic
- Relational
- Logical
- Assignment
- Membership
- Identity
- Variables, expression condition and function
- Global and Local Variables in Python
- Packing and Unpacking Arguments
- Type Casting in Python
- Byte objects vs. string in Python
- Variable Scope
- Declaring and using Numeric data types
- Using string data type and string operations
- Understanding Non-numeric data types
- Understanding the concept of Casting and Boolean.
- Strings
- List
- Tuples
- Dictionary
- Sets
- Statements - if, else, elif
- How to use nested IF and Else in Python
- Loops
- Loops and Control Statements.
- Jumping Statements - Break, Continue, pass
- Looping techniques in Python
- How to use Range function in Loop
- Programs for printing Patterns in Python
- How to use if and else with Loop
- Use of Switch Function in Loop
- Elegant way of Python Iteration
- Generator in Python
- How to use nested Loop in Python
- Use If and Else in for and While Loop
- Examples of Looping with Break and Continue Statement
- How to use IN or NOT IN keyword in Python Loop.
- What is List.
- List Creation
- List Length
- List Append
- List Insert
- List Remove
- List Append & Extend using "+" and Keyword
- List Delete
- List related Keyword in Python
- List Reverse
- List Sorting
- List having Multiple Reference
- String Split to create a List
- List Indexing
- List Slicing
- List count and Looping
- List Comprehension and Nested Comprehension
- What is Tuple
- Tuple Creation
- Accessing Elements in Tuple
- Changing a Tuple
- Tuple Deletion
- Tuple Count
- Tuple Index
- Tuple Membership
- TupleBuilt in Function (Length, Sort)
- Dict Creation
- Dict Access (Accessing Dict Values)
- Dict Get Method
- Dict Add or Modify Elements
- Dict Copy
- Dict From Keys.
- Dict Items
- Dict Keys (Updating, Removing and Iterating)
- Dict Values
- Dict Comprehension
- Default Dictionaries
- Ordered Dictionaries
- Looping Dictionaries
- Dict useful methods (Pop, Pop Item, Str , Update etc.)
- What is Set
- Set Creation
- Add element to a Set
- Remove elements from a Set
- PythonSet Operations
- Frozen Sets
- What is Set
- Set Creation
- Add element to a Set
- Remove elements from a Set
- PythonSet Operations
- Python Syntax
- Function Call
- Return Statement
- Arguments in a function - Required, Default, Positional, Variable-length
- Write an Empty Function in Python -pass statement.
- Lamda/ Anonymous Function
- *args and **kwargs
- Help function in Python
- Scope and Life Time of Variable in Python Function
- Nested Loop in Python Function
- Recursive Function and Its Advantage and Disadvantage
- Organizing python codes using functions
- Organizing python projects into modules
- Importing own module as well as external modules
- Understanding Packages
- Random functions in python
- Programming using functions, modules & external packages
- Map, Filter and Reduce function with Lambda Function
- More example of Python Function
- Creation and working of decorator
- Idea and practical example of generator, use of generator
- Concept and working of Iterator
- Python Errors and Built-in-Exceptions
- Exception handing Try, Except and Finally
- Catching Exceptions in Python
- Catching Specic Exception in Python
- Raising Exception
- Try and Finally
- Opening a File
- Python File Modes
- Closing File
- Writing to a File
- Reading from a File
- Renaming and Deleting Files in Python
- Python Directory and File Management
- List Directories and Files
- Making New Directory
- Changing Directory
- Threading, Multi-threading
- Memory management concept of python
- working of Multi tasking system
- Different os function with thread
- SQL Database connection using
- Creating and searching tables
- Reading and Storing cong information on database
- Programming using database connections
- Working With Excel
- Reading an excel le using Python
- Writing to an excel sheet using Python
- Python| Reading an excel le
- Python | Writing an excel le
- Adjusting Rows and Column using Python
- ArithmeticOperation in Excel le.
- Play with Workbook, Sheets and Cells in Excel using Python
- Creating and Removing Sheets
- Formatting the Excel File Data
- More example of Python Function
- Check Dirs. (exist or not)
- How to split path and extension
- How to get user prole detail
- Get the path of Desktop, Documents, Downloads etc.
- Handle the File System Organization using OS
- How to get any les and folder's details using OS
- What is Machine Learning
- Machine Learning Use-Cases
- Machine Learning Process Flow
- Machine Learning Categories
- What is Time Series Analysis
- Importance of TSA
- Components of TSA
- White Noise
- AR model
- MA model
- ARMA model
- ARIMA model
- Stationarity
- ACF & PACF
- What is Exploratory Data Analysis
- EDA Techniques
- EDA Classification
- Univariate Non-graphical EDA
- Univariate Graphical EDA
- Multivariate Non-graphical EDA
- Multivariate Graphical EDA
- Heat Maps
- Overview of Text Mining
- Need of Text Mining
- Natural Language Processing (NLP) in Text Mining
- Overview of Text Mining
- Need of Text Mining
- Natural Language Processing (NLP) in Text Mining
- Applications of Text Mining
- OS Module
- Reading, Writing to text and word files
- Setting the NLTK Environment
- Accessing the NLTK Corpora
- Tokenization
- Frequency Distribution
- Different Types of Tokenizers
- Bigrams, Trigrams & Ngrams
- Stemming
- Lemmatization
- Stopwords
- POS Tagging
- Named Entity Recognition
- Syntax Trees
- Chunking
- Chinking
- Context Free Grammars (CFG)
- Automating Text Paraphrasing
- Machine Learning: Brush Up
- Bag of Words
- Count Vectorizer
- Term Frequency (TF)
- Inverse Document Frequency (IDF)
- Introduction to TensorFlow 2.x
- Installing TensorFlow 2.x
- Defining Sequence model layers
- Activation Function
- Layer Types
- Model Compilation
- Model Optimizer
- Model Loss Function
- Model Training
- Digit Classification using Simple Neural Network in TensorFlow 2.x
- Improving the model
- Adding Hidden Layer
- Adding Dropout
- Using Adam Optimizer
- What is Deep Learning
- Curse of Dimensionality
- Machine Learning vs. Deep Learning
- Use cases of Deep Learning
- Human Brain vs. Neural Network
- What is Perceptron
- Learning Rate
- Epoch
- Batch Size
- Activation Function
- Single Layer Perceptron
- What is NN
- Types of NN
- Creation of simple neural network using tensorflow
- Image Classification Example
- What is Convolution
- Convolutional Layer Network
- Convolutional Layer
- Filtering
- ReLU Layer
- Pooling
- Data Flattening
- Fully Connected Layer
- Predicting a cat or a dog
- Saving and Loading a Model
- Face Detection using OpenCV
- Introduction to Vision
- Importance of Image Processing
- Image Processing Challenges – Interclass Variation, ViewPoint Variation, Illumination, Background Clutter, Occlusion & Number of Large Categories
- Introduction to Image – Image Transformation, Image Processing Operations & Simple Point Operations
- Noise Reduction – Moving Average & 2D Moving Average
- Image Filtering – Linear & Gaussian Filtering
- Disadvantage of Correlation Filter
- Introduction to Convolution
- Boundary Effects – Zero, Wrap, Clamp & Mirror
- Image Sharpening
- Template Matching
- Edge Detection – Image filtering, Origin of Edges, Edges in images as Functions, Sobel Edge Detector
- Effect of Noise
- Laplacian Filter
- Smoothing with Gaussian
- LOG Filter – Blob Detection
- Noise – Reduction using Salt & Pepper Noise using Gaussian Filter
- Nonlinear Filters
- Bilateral Filters
- Canny Edge Detector - Non Maximum Suppression, Hysteresis Thresholding
- Image Sampling & Interpolation – Image Sub Sampling, Image Aliasing, Nyquist Limit, Wagon Wheel Effect, Down Sampling with Gaussian Filter, Image Pyramid, Image Up Sampling
- Image Interpolation – Nearest Neighbour Interpolation, Linear Interpolation, Bilinear Interpolation & Cubic Interpolation
- Introduction to the dnn module
- Deep Learning Deployment Toolkit
- Use of DLDT with OpenCV4.0
- OpenVINO Toolkit
- Introduction
- Model Optimization of pre-trained models
- Inference Engine and Deployment process
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FAQ's
In addition to recorded video courses of lectures, you will get the opportunity to work on actual projects with industry specialists that have more than 10 years of experience at the Data Science Training Institute in Noida.
The well-equipped laboratories and the actual project would substantially help the Data Science Training Noida. You'll receive more real-world experience as a consequence, and you'll be better equipped to find a great job.
Croma Campus provides Data Science Course in Noida with Placement for you to join in so that you may gain complete skills. The institute's high-quality training will provide you with a diverse set of skills and knowledge.
Because the Data Science Training Noida with Placement is customizable, you may do it on your own schedule. However, it will take 30 hours to complete.
To enroll in the Croma Campus Data Science Training Institute in Noida, go to helpdesk@cromacampus.com. You may reach us by WhatsApp (+91-9818014543) or phone (+91-9711526942).
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Real-life Case Studies
Case studies based on top industry frameworks help you to relate your learning with real-time based industry solutions.
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Adding the scope of improvement and fostering the analytical abilities and skills through the perfect piece of academic work.
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WHAT OUR ALUMNI SAYS ABOUT US
Dhruv
1. In recent times Python learning is hugely in demand. And I was looking for an institution to get myself enrolled in this course to become a Data Scientist. They have the best trainers and an affordable fee structure. It's been months now and I am fully satisfied with the trainers, live sessions, Read more...
Ananya
Data Science
Enrolling yourself in the Deep learning certification program of Croma Campus is the best way to master all the concepts of data science and deep learning. My experience with these people has been very amazing and positive. The support/guidance I got from the trainer is highly commendable Thanks, te Read more...
Aadarsh
Data Science
Hello, I have joined Croma Campus for a few months in the course helped in acquiring good knowledge. Also, there are many extra classes held by the trainer. There are many mock sessions given after the post completing the course. The salary offered in the industry is high to the candidates. Read more...
Pooja Yadav
Data Science
I am Pooja Yadav from Haryana. I have joined Croma Campus for learning this course. The trainer helped me to learn advanced practical knowledge and new innovative skills to enhance my ability. Also, the faculty is available in the odd hours for helping. There are many extra reference study materials Read more...
Sanjeev Kumar
Data Science
Hi, my name is Sanjeev Kumar. I have recently completed my Django Framework Certification Training from Croma Campus which is the brand name in the domain of technical education. It provides me with well-updated study material which is concerned with the latest industry trends. After the training co Read more...
Aadi
Data Science
Croma Campus has well-experienced faculties who are working as a top professional in the industry. I have recently completed my Artificial Intelligence Certification training from this institute and it gives me remarkable experience. With world-class infrastructural facilities, it has a student-frie Read more...
Vishal Jha
Data Science
Hi, my name is Vishal Jha currently I am associated with L&T. I got this amazing opportunity with the help of our specialized trainers. Due to the continuous practice through the mock interview, I get to clear out the Interview of this MNC. Apart from the training provided the behavior of trainers a Read more...
Ankit
Hi, my name is Ankit. I currently work as a Data Science at HCL. My interview in this company was scheduled by Croma Campus as I have done 2 months of Masters in Data Science course from it. I managed to crack this interview and the whole credit of my success goes to my Data Science trainer who dedi Read more...
Abhey
I have joined Croma Campus for taking the Masters in Data Science. It is a good place to learn. Helps in gaining the skills & knowledge. Read more...
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