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The entire training includes real-world projects and highly valuable case studies.
IABAC® certification provides global recognition of the relevant skills, thereby opening opportunities across the world.
MODULE 1: DATA SCIENCE COURSE INTRODUCTION
MODULE 2: DATA SCIENCE ESSENTIALS
MODULE 3: DATA SCIENCE DEMO
MODULE 4: ANALYTICS CLASSIFICATION
MODULE 5: DATA SCIENCE AND RELATED FIELDS
MODULE 6: DATA SCIENCE ROLES & WORKFLOW
MODULE 7: MACHINE LEARNING INTRODUCTION
MODULE 8: DATA SCIENCE INDUSTRY APPLICATIONS
MODULE 1: PYTHON BASICS
MODULE 2: PYTHON CONTROL STATEMENTS
MODULE 3: PYTHON DATA STRUCTURES
MODULE 4: PYTHON FUNCTIONS
MODULE 5: PYTHON NUMPY PACKAGE
MODULE 6: PYTHON PANDASPACKAGE
MODULE 1: OVERVIEW OF STATISTICS
MODULE 2: HARNESSING DATA
MODULE 3: EXPLORATORY DATA ANALYSIS
MODULE 4: HYPOTHESIS TESTING
MODULE 5: CORRELATION AND REGRESSION
MODULE 1: MACHINE LEARNING INTRODUCTION
MODULE 2: PYTHON NUMPY & PANDAS PACKAGE
MODULE 3: VISUALIZATION WITH PYTHON
MODULE 4: ML ALGO: LINEAR REGRESSION
MODULE 5: ML ALGO: KNN
MODULE 6: ML ALGO: LOGISTIC REGRESSION
MODULE 7: PRINCIPLE COMPONENT ANALYSIS (PCA)
MODULE 8: ML ALGO: K MEANS CLUSTERING
MODULE 1: MACHINE LEARNING INTRODUCTION
MODULE 2: ML ALGO: LINEAR REGRESSSION
MODULE 3: ML ALGO: LOGISTIC REGRESSION
MODULE 4: ML ALGO: KNN
MODULE 5: ML ALGO: K MEANS CLUSTERING
MODULE 6: PRINCIPLE COMPONENT ANALYSIS (PCA)
MODULE 7: ML ALGO: DECISION TREE
MODULE 8 : ML ALGO: NAÏVE BAYES
MODULE 9: GRADIENT BOOSTING, XGBOOST
MODULE 10: ML ALGO: SUPPORT VECTOR MACHINE (SVM)
MODULE 11: ARTIFICIAL NEURAL NETWORK (ANN)
MODULE 12: ADVANCED ML CONCEPTS
MODULE 1: TIME SERIES FORECASTING - ARIMA
MODULE 2: FEATURE ENGINEERING
MODULE 3: SENTIMENT ANALYSIS
MODULE 4: REGULAR EXPRESSIONS WITH PYTHON
MODULE 5: ML MODEL DEPLOYMENT WITH FLASK
MODULE 6: ADVANCED DATA ANALYSIS WITH MS EXCEL
MODULE 7: AWS CLOUD FOR DATA SCIENCE
MODULE 8: AZURE FOR DATA SCIENCE
MODULE 1: DATABASE INTRODUCTION
MODULE 2: SQL BASICS
MODULE 3: DATA TYPES AND CONSTRAINTS
MODULE 4: DATABASES AND TABLES (MySQL)
MODULE 5: SQL JOINS
MODULE 6: SQL COMMANDS AND CLAUSES
MODULE 7 : DOCUMENT DB/NO-SQL DB
MODULE 1: GIT INTRODUCTION
MODULE 2: GIT REPOSITORY and GitHub
MODULE 3: COMMITS, PULL, FETCH AND PUSH
MODULE 4: TAGGING, BRANCHING AND MERGING
MODULE 5: UNDOING CHANGES
MODULE 6: GIT WITH GITHUB AND BITBUCKET
MODULE 1: BIG DATA INTRODUCTION
MODULE 2 : HDFS AND MAP REDUCE
MODULE 3: PYSPARK FOUNDATION
MODULE 4: SPARK SQL and HADOOP HIVE
MODULE 5 : MACHINE LEARNING WITH SPARK ML
MODULE 6: KAFKA and Spark
MODULE 1: BUSINESS INTELLIGENCE INTRODUCTION
MODULE 2: BI WITH TABLEAU: INTRODUCTION
MODULE 3 : TABLEAU: CONNECTING TO DATA SOURCE
MODULE 4: TABLEAU : BUSINESS INSIGHTS
MODULE 5: DASHBOARDS, STORIES AND PAGES
MODULE 6: BI WITH POWER-BI
Data Science encompasses extracting valuable insights from data using statistical analysis, machine learning, and domain expertise. It involves processes such as data collection, cleaning, analysis, and interpretation, empowering informed decision-making across diverse fields.
Big Data and Data Science share a symbiotic relationship, with Data Science utilizing techniques to analyze and glean meaningful insights from the vast and intricate datasets commonly referred to as Big Data. This synergy enables informed decision-making in various domains.
While coding skills are advantageous, individuals without coding experience can enter Data Science using user-friendly tools initially. Nevertheless, learning programming languages like Python or R is recommended for a well-rounded skill set and career progression.
Data Science contributes to the growth of Omani enterprises by streamlining processes, enhancing predictive analytics for decision-making, and fostering innovation. It optimizes resource allocation, improves customer satisfaction, and bolsters overall competitiveness in the dynamic business landscape.
The Data Science process involves defining objectives, collecting and cleaning data, conducting exploratory data analysis, building models, evaluating results, and implementing solutions. This iterative process necessitates collaboration between data professionals and domain experts for effective outcomes.
A robust foundation in mathematics, statistics, or computer science is customary for a Data Science career. While many Data Scientists hold bachelor's, master's, or PhD degrees in related fields, practical experience and skills are equally pivotal for success in the field.
Vital skills encompass proficiency in programming languages (Python, R), mastery of statistical analysis, adeptness in machine learning algorithms, data cleaning expertise, and effective communication. Problem-solving, critical thinking, and domain-specific knowledge are also integral for success.
Data Science Certification Courses are open to diverse individuals, including recent graduates, working professionals, or those transitioning to a new career. Prerequisites often include basic quantitative skills, a strong analytical mindset, and a keen desire to learn and apply data science methodologies.
Begin by mastering foundational skills in mathematics, statistics, and programming. Engage with online courses, attend local workshops, and participate in Data Science communities. Consider pursuing relevant degrees or certifications to solidify your knowledge.
Enroll in the Certified Data Scientist course for top-notch data science training in Oman. This program equips participants with essential skills in data analysis, machine learning, and statistical modeling, ensuring a strong foundation and industry-recognized certification for a successful career journey in the evolving field of data science.
In Oman, Data Scientists receive highly competitive compensation, with an estimated annual income of 32,600 OMR, as reported by Salary Explorer. This reflects the growing demand for data science expertise in the Omani job market, making it an attractive destination for professionals seeking rewarding careers in the field with lucrative financial rewards.
Build a diverse portfolio showcasing projects that demonstrate your skills in data cleaning, exploratory data analysis, machine learning, and effective data visualization. Clearly articulate the problem-solving approach, highlight business impacts, and share your code on platforms like GitHub.
Stay updated on trends like explainable AI, automated machine learning (AutoML), and advancements in natural language processing (NLP). Ethical considerations, responsible AI practices, and the integration of data science into business strategies are also gaining prominence in the field.
While not mandatory, a postgraduate degree can enhance your eligibility for Data Science training courses in Oman. Many programs accept individuals with strong quantitative skills, relevant work experience, or a bachelor's degree in a related field. Choose programs that align with your career goals.
While not obligatory, a postgraduate degree can enhance eligibility for Data Science training courses in Oman. Many programs consider individuals with strong quantitative skills, relevant work experience, or a bachelor's degree in a related field. Choose courses aligning with your career objectives.
Data Science finds applications in finance, healthcare, marketing, and more. It's used for fraud detection in finance, improving diagnostics in healthcare, customer segmentation in marketing, and optimizing operations across various industries.
Data Science is a broader field encompassing data analysis, statistical modeling, and machine learning. Machine Learning is a subset, focusing on algorithms enabling computers to learn from data and make predictions without explicit programming.
Develop a portfolio showcasing diverse projects with skills in data cleaning, exploratory data analysis, machine learning, and impactful data visualization. Clearly document your problem-solving approach, highlight business impacts, and share code on platforms like GitHub for visibility.
In Oman, Data Scientists typically start as Analysts, advancing to roles like Senior Data Scientist or Machine Learning Engineer. With experience, they may transition into managerial or specialized positions, contributing to strategic decision-making and advanced analytics implementation.
Proficiency in Python is highly recommended for entering the Data Science field. Python's versatility, extensive libraries, and community support make it a common prerequisite. While other languages may be used, Python's industry prevalence ensures adaptability and collaboration in the dynamic field of Data Science.
Recognized globally as the epitome of Data Science and Machine Learning education, the DataMites Certified Data Scientist Course is continually refined to meet industry standards. This job-oriented program excels in providing a structured learning experience, ensuring participants acquire the skills needed for success in the dynamic field of data science.
The fee structure for DataMites' data science training programs in Oman ranges from OMR 203 to OMR 508, offering participants flexibility and varied options to suit their learning preferences and budget.
Beginners in Oman can access foundational data science training through programs like Certified Data Scientist, Data Science in Foundation, and Diploma in Data Science. These courses lay the groundwork, ensuring individuals acquire fundamental skills crucial for navigating the intricacies of the data science landscape.
DataMites offers tailored data science courses in Oman for working professionals aiming to elevate their expertise. Courses like Statistics for Data Science, Data Science with R Programming, Python for Data Science, and specialized certifications in operations, marketing, HR, and finance are designed to augment the knowledge and skills of professionals in their respective domains.
The duration of DataMites data science courses in Oman is customized to meet individual preferences, ranging from 1 to 8 months. This tailored approach ensures participants can select a course duration that aligns with their specific learning goals and time constraints.
Oman's DataMites offers online data science training, allowing participants to learn from any location at their convenience. The platform fosters interaction through discussions, forums, and collaborative activities, enhancing the overall quality of the data science training experience.
DataMites appoints experienced mentors and faculty members, handpicked from leading companies and reputable institutions like IIMs. This meticulous selection process ensures that data science training sessions are led by seasoned professionals with a wealth of real-world expertise.
Participants must bring photo identification proof, like a national ID card or driver's license, to obtain participation certificates and schedule any requisite certification exams during the data science training sessions.
DataMites presents a diverse range of data science certifications in Oman, featuring the globally recognized Certified Data Scientist program. Specialized tracks like Data Science for Managers, Data Science Associate, and Diploma in Data Science cater to varied career aspirations. With modules such as Statistics for Data Science, Python for Data Science, and sector-specific courses like Data Science in Finance and HR, DataMites ensures a well-rounded learning experience.
To address missed training sessions in Oman, participants can access session recordings and additional resources, allowing them to stay on track with the curriculum. This ensures a flexible and accommodating learning experience for all participants.
Yes, DataMites in Oman includes data science internships with AI companies as part of its data science courses, providing participants with real-world experience.
The "Data Science for Managers" course is ideal for leaders seeking to integrate data science into decision-making. It offers strategic insights and practical knowledge tailored for managerial roles.
DataMites offers help sessions in Oman for participants who want a better grasp of specific data science topics. These optional sessions provide additional clarification and support, contributing to a comprehensive understanding of the course material.
Yes, DataMites provides a Data Scientist course in Oman with live projects, including 10+ capstone projects and 1 client project, allowing participants to apply their skills in practical, real-world situations.
The Certified Data Scientist Training in Oman is open to all, with no prerequisites. Tailored for beginners and intermediate learners in data science, this course provides an accessible entry point for individuals with diverse backgrounds.
At DataMites, the Flexi-Pass concept for data science training allows participants to customize their learning schedule. This innovative approach ensures that individuals can balance their professional and personal commitments while receiving comprehensive training in data science.
In DataMites' data science training, career mentoring sessions follow a structured format, focusing on goal setting, skill refinement, and insights into the industry landscape. This comprehensive approach equips participants with the knowledge and confidence for a successful data science career.
DataMites provides customizable learning paths for data science courses in Oman, featuring training methods such as online data science training in Oman and self-paced options. Participants can tailor their learning experience to suit their preferences and schedules.
Graduates of DataMites' Data Science Training in Oman earn an IABAC Certification, emphasizing their proficiency and credibility in the field.
DataMites understands the importance of commitment, which is why a free demo class is available for individuals in Oman considering data science training. This allows prospective participants to gauge the training quality before making any financial commitment.
The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -
The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.
No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.