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Learn the fundamental data science concepts. Join today to become a competent data science expert.
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- Data Science refers to the study of data to extract meaningful insights for business. It consists of domain expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights from data. This Data Science Online Course in Oman will focus on making you aware of the entire Data Science process. It will teach you cloud concepts & applications in Data Science and will make you learn Database concepts. By enrolling in this Data Science Online Training in Oman, you will get to know about statistics fundamentals as needed in Data Science. Furthermore, you will learn visualizations for data mining and presentation. This course will provide you with an overview of Statistical Learning along with the essentials of Machine Learning.
Data Science Online Training in Oman
- This Data Science Online Course in Oman provides you with the entire toolbox you need to become a data scientist. It helps you fill your resume with in-demand data science skills such as statistical analysis, Python programming with NumPy, etc. It will help make you more employable and help you impress interviewers by showing an understanding of the data science field. Enrolling in this Data Science Online Course in Oman will help you learn how to pre-process data. Given below are some of the topics you will learn from this Data Science Online Training in Oman.
You will learn coding in Python and learn how to use it for statistical analysis.
Will be able to perform linear and logistic regressions in Python.
You will learn how to apply your skills to real-life business cases.
Unfold the power of deep neural networks.
Successfully perform all steps in a complex Data Science project.
It will teach you how to use training and test data to build robust models.
Will help you present Data Science projects to stakeholders.
- The average starting salary for Data Scientist in India is around 4.0 Lakhs per year or 33.3k per month. However, Data Scientists with less than one year of experience and freshers can earn an average of Rs. 5,71,493 annually. After having more than 4 years of experience in this domain, you can earn an average of Rs. 8,00,750 per annum. Below are some of the average salaries of experienced professionals with Data Science skills.
Data Science
Data Architect
Machine Learning Engineer
Business Intelligence Developer
Database Engineer
Data Analyst
Data Engineer
- Data Science is one of the most rewarding career opportunities in current times. Learning Data Science Online Training in Oman offers you considerable opportunities and rewards. This technology is one of the hottest and most demanded topics in the market among the youth. Various companies use data science to monitor, manage, and collect performance measures to improve decision-making across the organization. Due to this reason, skilled professionals in data science are highly demanded all over the world. Thus, generating numerous career opportunities in it. Given below are some of the job opportunities you can explore after learning Data Science.
Data Scientists earn an average of 10.0 Lakhs INR.
Data architects earn an average of 23.5 Lakhs INR.
Machine Learning engineers earn an average of 7.0 Lakhs INR.
Business Intelligence Developers earn an average of 6.0 Lakhs INR.
Database Engineers earn an average of 6.0 Lakhs INR.
Data Analysts earn an average of 4.3 Lakhs INR.
Data engineers earn an average of 8.0 Lakhs INR.
- Date Scientists are those professionals responsible for extracting data from multiple sources using machine learning tools. After that, they need to organize, process, clean, and validate the data to gather information and patterns. These professionals are responsible for making predictions and proposing solutions and strategies. Data Scientists are required to boost general effectiveness and performance by staying current with the newest tools, trends, and technologies. To further know about it, one can visit Data Science Online Training in Oman. Apart from these, given below are some of the significant roles & responsibilities of a Data scientist. Apart from these, given below are some of the roles and responsibilities of a Data Scientist.
Collecting data and identifying data sources.
Analyzing huge amounts of data, both structured and unstructured.
Creating solutions and strategies for business problems.
Working with team members and leaders to develop a data strategy.
Discovering trends and patterns, combining various algorithms and modules.
Presenting data using various data visualization techniques and tools.
Investigating additional technologies and tools for developing innovative data strategies.
Creating comprehensive analytical solutions, from data gathering to display.
Providing help in the construction of data engineering pipelines.
Supporting the data scientists, BI developers, and analysts’ team.
- Data Science is one of the most trending educational topics of this era and learning it makes you rich. Data Science Online Training in Oman ensures that you get plenty of career opportunities from all over the world. Data scientists bring great value to the table and are highly sought-after professionals in the IT field. They are the core decision-making professionals in the team in terms of data. Therefore, companies willingly pay a handsome salary to these professionals in exchange for their skills. Enrolling in the Data Science Online Course in Oman offers you remarkable emoluments along with an attractive job profile. It opens numerous promising career opportunities for you and makes you more employable for these careers. Here are some of the reasons why you should enroll in a Data Science Online Course in Oman to learn this technology.
Offers greater job opportunities.
Gives You Decision-Making Power.
There is Less Competition in the Field.
You will learn diverse skills and techniques.
Offers quick growth and placement.
Adds weight to your resume.
- Data Science facilitates effective and data-driven decision-making as it is a scientific process that relies on mathematical and statistical formulas. Using it helps a business in identifying opportunities and preventing threats and risks. Furthermore, it improves the prediction-making capacity of a business and increases information security. Data Science facilitates complete data interpretation and helps a business make informed decisions based on structured predictive data analysis. Due to these benefits, many leading companies use it and look towards hiring professionals with Data Science Online Certification in Oman. Here are some of the leading companies that hire skilled professionals in data science.
Deloitte
Amazon And AWS
KPMG
Microsoft
VMware
Accenture
Salesforce
EY
PwC
- After the completion of this course, you will be provided a Data Science Online Certification in Oman. This certification is highly beneficial for you as it helps you learn complex skills that are hard to source in your marketplace. Furthermore, this Data Science Online Certification in Oman acts as a validation of your skills and makes you more employable. It attracts employers and shows them that you have all the expertise required to manage and assess their data for business growth and prosperity. Having Data Science Online Certification in Oman helps you stand out in the applicant pool when applying for a job.
- Other Related Online Training Courses in Oman:
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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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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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FAQ's
Data Science is a computer science field that deals with turning data into information and extracting meaningful insights from it.
Unlike traditional application programming, Data Science takes a fundamentally different approach to building systems that provide value.
Bias refers to a type of error that occurs in a Data Science model because of using an algorithm that is not strong enough to capture the underlying patterns.
Data Scientists use Python to clean and transform huge data sets in a form that they can work with.
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