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Learn the fundamental data science concepts. Join today to become a competent data science expert.
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we train you to get hired.
- 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:
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CURRICULUM & PROJECTS
Data Science Training Program
- Introduction To Python
- Installation and Working with Python
- Understanding Python variables
- Python basic Operators
- Understanding the Python blocks.
- Version Control with Git & GitHub
- Python Keyword and Identiers
- Python Comments, Multiline Comments.
- Python Indentation
- Understating the concepts of Operators
- Introduction To Variables
- 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
- Python Data Type
- 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
- Control Structure & Flow
- 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.
- Python Function, Modules and Packages
- 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
- List
- 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 Revers
- 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
- Tuple
- 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)
- Dictionary
- 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.)
- Sets
- What is Set
- Set Creation
- Add element to a Set
- Remove elements from a Set
- PythonSet Operations
- Frozen Sets
- Strings
- What is Set
- Set Creation
- Add element to a Set
- Remove elements from a Set
- PythonSet Operations
- Python Exception Handling
- 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
- Python File Handling
- 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
- Python Database Interaction
- Basic SQL, DDL and DML commands
- SQL Database connection using
- Creating and searching tables
- Reading and Storing cong information on database
- Programming using database connections
- Reading an excel
- 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
- Complete Understanding of OS Module of Python
- 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 folders details using OS
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- Data Analysis and Visualization using Pandas.
- Read data from Excel File using Pandas More Plotting, Date Time Indexing and writing to les
- How to get record specic records Using Pandas Adding & Resetting Columns, Mapping with function
- Using the Excel File class to read multiple sheets More Mapping, Filling Nonvalues
- Exploring the Data Plotting, Correlations, and Histograms
- Getting statistical information about the data Analysis Concepts, Handle the None Values
- Reading les with no header and skipping records Cumulative Sums and Value Counts, Ranking etc
- Reading a subset of columns Data Maintenance, Adding/Removing Cols and Rows
- Applying formulas on the columns Basic Grouping, Concepts of Aggre gate Function
- Complete Understanding of Pivot Table Data Slicing using iLoc and Loc property (Setting Indices)
- Under sting the Properties of Pivot Table in Pandas Advanced Reading CSVs/HTML, Binning, Categorical Data
- Exporting the results to Excel Joins
- Python | Pandas Data Frame Inner Join
- Under sting the properties of Data Frame Left Join (Left Outer Join)
- Indexing and Selecting Data with Pandas Right Join (Right Outer Join)
- Pandas | Merging, Joining and Concatenating Full Join (Full Outer Join)
- Pandas | Find Missing Data and Fill and Drop NA Appending Data Frame and Data
- Pandas | How to Group Data How to apply Lambda / Function on Data Frame
- Other Very Useful concepts of Pandas in Python Data Time Property in Pandas (More and More)
- Data Analysis and Visualization using NumPy
- Introduction to NumPy Numerical Python
- Importing NumPy and Its Properties
- NumPy Arrays
- Creating an Array from a CSV
- Operations an Array from a CSV
- Operations with NumPy Arrays
- Two-Dimensional Array
- Selecting Elements from 1-D Array
- Selecting Elements from 2-D Array
- Logical Operation with Arrays
- Indexing NumPy elements using conditionals
- NumPys Mean and Axis
- NumPys Mode, Median and Sum Function
- NumPys Sort Function and More
- Data Analysis and Visualization using MatPlotLib
- Bar Chart using Python MatPlotLib
- Column Chart using Python MatPlotLib
- Pie Chart using Python MatPlotLib
- Area Chart using Python MatPlotLib
- Scatter Plot Chart using Python MatPlotLib
- Play with Charts Properties Using MatPlotLib
- Export the Chart as Image
- Understanding plt. subplots () notation
- Legend Alignment of Chart using MatPlotLib
- Create Charts as Image
- Other Useful Properties of Charts.
- Complete Understanding of Histograms
- Plotting Different Charts, Labels, and Labels Alignment etc.
- Introduction to Data Visualization with Seaborn
- Introduction to Seaborn
- Making a scatter plot with lists
- Making a count plot with a list
- Using Pandas with seaborn
- Tidy vs Untidy data
- Making a count plot with a Dataframe
- Adding a third variable with hue
- Hue and scattera plots
- Hue and count plots
- Visualizing Two Quantitative Variables
- Visualizing a Categorical and a Quantitative Variable
- Customizing Seaborn Plots
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- Foundation for AI: Learn traditional ML models, evaluation, and workflows.
- Introduction to ML, AI, and Deep Learning
- Types of ML (Supervised, Unsupervised, Reinforcement)
- ML Pipeline: Data Cleaning, Feature Engineering
- Common ML Algorithms: Linear, Logistic, DT, RF, SVM, KNN
- Model Evaluation: Accuracy, Precision, Recall, F1, ROC-AUC
- Overfitting, Underfitting, Cross-Validation
- Hands-on Project: Titanic Dataset (or similar)
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- Understand the inner workings of neural networks and train them with Keras.
- Introduction to Neural Networks & Deep Learning
- Activation Functions (ReLU, Sigmoid, Tanh)
- Feedforward Neural Network
- Backpropagation & Gradient Descent
- Learning Rate, Schedulers & Optimizers (SGD, Adam, RMSProp)
- Softmax, Cross-Entropy Loss
- Keras Basics: Sequential API & Functional API
- Fully Connected Layer Forward/Backward Pass
- Regularization Dropout, Batch Normalization
- Data Preprocessing & Data Augmentation
- Weight Initialization Strategies
- Babysitting Learning: Overfit detection, TensorBoard Monitoring
- Hands-on: MLP on MNIST / Tabular data (e.g. HR Analytics)
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- Master CNNs, object detection, segmentation, and deployment.
- Basics of Images, Image Preprocessing
- Convolution: 2D Conv, Forward & Backward
- Pooling, Padding, Stride, Transposed Conv
- CNN Architectures: LeNet, AlexNet, VGG, ResNet
- GPU vs CPU for DL
- Transfer Learning: Inception, MobileNet, fine-tuning
- Semantic Segmentation using UNet
- Object Detection YOLO, SSD, Region Proposal
- Bounding Box Regressor
- Siamese Networks for Similarity Search
- Hands-on:
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- Train text models from scratch and with BERT.
- Introduction to NLP and Use Cases
- Preprocessing: Tokenization, Lemmatization, Stopwords, Normalization
- Feature Extraction: BOW, TF-IDF, N-Grams
- Word Embeddings: Word2Vec, GloVe, Dense Vectors
- POS Tagging, Named Entity Recognition
- RNN, LSTM Forward Pass and BPTT
- Advanced LSTM Applications + Architectures
- Attention Mechanism + Encoder-Decoder
- Transformers, BERT, Hugging Face Pipelines
- NLP Evaluation Metrics: BLEU, ROUGE
- Hands-on:
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- Take models from notebooks to real-world applications.
- Saving & Loading Models (Pickle, Joblib, Keras)
- Flask vs FastAPI Serving ML models
- Streamlit/Gradio for Web Apps
- Hosting Models on Hugging Face Spaces, Streamlit Cloud
- MLflow Intro Model Tracking & Versioning
- Hands-on:
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- Build, evaluate, and deploy a mini AI project end-to-end.
- Project Selection: Tabular, CV, or NLP
- Data Collection/Exploration
- Preprocessing + Feature Engineering
- Model Training & Tuning
- Evaluation & Interpretation
- App Creation (Streamlit/Gradio)
- Deployment + Final Presentation/Submission
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Course Duration
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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...
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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...
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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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