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Self Learning + Live Mentoring
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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 involves extracting insights and knowledge from data through various techniques like statistics, machine learning, and data analysis. It encompasses the entire data lifecycle, from collection to visualization.
While a bachelor's degree in a related field is common, many Data Scientists hold advanced degrees like a master's or Ph.D. Relevant skills, experience, and a strong foundation in mathematics and programming are equally vital.
The Certified Data Scientist Course stands out as a premier option in Jordan. This comprehensive program covers essential data science skills, including programming, statistics, and machine learning. Participants gain hands-on experience, ensuring they are well-equipped for successful careers in the dynamic field of data science.
Anyone with a background in mathematics, statistics, computer science, or a related field can enroll in Data Science Certification Courses. Professionals seeking to enhance their analytical skills or transition into the field also find these courses beneficial.
Statistics is fundamental in data science, helping analysts draw meaningful conclusions from data. It includes descriptive statistics for summarizing data and inferential statistics to make predictions and decisions based on sampled data.
Essential skills for Data Scientists include proficiency in programming languages, data manipulation, statistical analysis, machine learning, and strong communication skills to convey findings effectively.
Begin by acquiring a strong foundation in mathematics and programming. Gain hands-on experience with real-world datasets, explore online courses, participate in projects, and build a portfolio showcasing your skills. Networking with professionals in the field can also provide valuable insights.
Data Science in finance involves risk management, fraud detection, customer segmentation, and algorithmic trading. It leverages predictive modeling and analytics to optimize decision-making processes, enhance customer experiences, and detect anomalies in financial transactions.
Challenges include data quality issues, model interpretability, and scalability. Addressing these involves rigorous data preprocessing, employing explainable AI techniques, and optimizing algorithms for efficient processing.
In Jordan, Data Scientists typically start as analysts, progressing to senior roles or specialized positions like machine learning engineer or data architect. Continuous learning, networking, and gaining hands-on experience contribute to career advancement.
Internships provide practical exposure to real-world projects, fostering hands-on skills development and industry understanding. They enhance resumes, facilitate networking, and often lead to full-time employment opportunities.
Enrolling in Data Science bootcamps can prove valuable for swiftly acquiring skills. These programs provide practical experience, mentorship, and networking, expediting entry into the field. Yet, the level of success hinges on the individual's dedication and the quality of the chosen bootcamp.
Data Scientists are tasked with collecting, processing, and analyzing vast datasets to derive actionable insights. They develop predictive models, design experiments, and communicate findings to inform strategic decision-making. Collaborating with cross-functional teams, they contribute to problem-solving and drive innovation within the organization.
Data Science enables retailers to analyze customer behavior, preferences, and purchase history, facilitating effective segmentation. By employing machine learning algorithms, businesses can tailor personalized shopping experiences, recommend products, and optimize marketing strategies, ultimately enhancing customer satisfaction and loyalty.
Data Science finds widespread application across industries such as finance, healthcare, e-commerce, manufacturing, and telecommunications. Its versatile tools and techniques contribute to improved decision-making, efficiency, and innovation in diverse sectors.
The Data Science project lifecycle involves defining objectives, data collection and preprocessing, exploratory data analysis, model development, validation, deployment, and continuous monitoring. Each phase is crucial for ensuring the project aligns with business goals and delivers meaningful insights.
In manufacturing and supply chain management, Data Science optimizes processes by predicting equipment failures, enhancing demand forecasting, and optimizing inventory management. It improves operational efficiency, reduces costs, and contributes to streamlined supply chain operations.
Based on Indeed, Data Scientists in Jordan can anticipate an impressive annual salary, with estimates indicating around JOD 91,056. This figure reflects the competitive compensation offered in recognition of the valuable skills and expertise these professionals bring to the field.
Data Science plays a crucial role in e-commerce by analyzing customer behavior, preferences, and transaction data. Recommendation systems, powered by machine learning algorithms, personalize user experiences, suggest products, and drive customer engagement, contributing to increased sales and customer satisfaction.
DataMites provides a diverse range of data science certifications in Jordan. Their offerings include the renowned Certified Data Scientist course, tailored for comprehensive expertise. Additionally, DataMites presents specialized programs like Data Science for Managers, Data Science Associate, and Diploma in Data Science, catering to various skill levels and professional needs. With courses in Statistics, Python, and applications in different domains such as Marketing, Operations, Finance, HR, and more, DataMites ensures a versatile and well-roun
The DataMites Certified Data Scientist Course in Jordan stands as the world's most sought-after and comprehensive program in Data Science and Machine Learning. It is meticulously updated to align with industry needs and tailored for effective learning. This course is renowned for its job-oriented approach, providing participants with the skills and knowledge essential for success in the dynamic field of data science.
Beginners in Jordan can access foundational data science training through courses like Certified Data Scientist, equipping them with comprehensive skills. Data Science in Foundation offers an introductory track, and the Diploma in Data Science provides a holistic learning experience. These beginner-friendly courses from DataMites ensure a solid grasp of fundamental concepts, making them an ideal starting point for individuals entering the dynamic field of data science.
The duration of DataMites' data scientist courses in Jordan ranges from 1 to 8 months, varying based on the course level.
No prerequisites are required for undertaking Certified Data Scientist Training in Jordan. The course is designed for beginners and intermediate learners in the field of data science.
Enrolling in DataMites' online data science training in Jordan provides the flexibility to learn from any location, eliminating geographical constraints. The interactive online platform encourages engagement through discussions, forums, and collaborative activities, enhancing the overall data science training experience.
DataMites' data science training in Jordan has a fee structure ranging from JOD 375 to JOD 937, ensuring affordability and diverse options for participants based on their preferences and budget.
Indeed, DataMites offers specialized data science courses for Jordanian professionals, including Statistics, Python, and Certified Data Scientist Operations. Tailored options like Data Science with R Programming, and Certified Data Scientist courses in Marketing, HR, and Finance cater specifically to working professionals, ensuring targeted skill enhancement.
Trainers at DataMites are chosen based on their elite status, with faculty members possessing real-time experience from top companies and prestigious institutes like IIMs conducting the data science training sessions.
Yes, participants must bring a valid photo identification proof, like a national ID card or driver's license, to receive their participation certificate and, if necessary, to schedule the certification exam during the data science training sessions.
DataMites understands that participants may miss a training session in Jordan due to unforeseen circumstances. In such cases, recorded sessions are made available for review, ensuring participants can catch up on missed content. Additionally, there are opportunities for one-on-one sessions with trainers to address queries and clarify concepts covered during the missed session, ensuring a comprehensive learning experience.
Absolutely, upon successful completion of the data science course in Jordan with DataMites, participants receive a prestigious certification, validating their proficiency in the field.
Yes, DataMites offers a demo class option in Jordan, providing participants with a preview of the training content and learning environment before committing to the fee.
Absolutely, DataMites provides Data Science Courses with internships in Jordan, offering valuable hands-on experience with AI companies.
The Flexi-Pass at DataMites in Jordan provides participants with flexible learning options, allowing them to choose their training schedule based on personal preferences. It accommodates busy schedules, ensuring individuals can pursue data science training at their convenience.
The ideal choice for managers or leaders looking to integrate data science into decision-making processes is "Data Science for Managers" at DataMites.
Yes, DataMites in Jordan offers help sessions for participants, providing additional support and clarification on specific data science topics, ensuring a comprehensive understanding.
Upon completing Data Science Training in Jordan, DataMites awards IABAC Certification, recognizing participants' expertise in data science.
DataMites' career mentoring sessions in Jordan follow an interactive format, guiding participants on industry trends, resume building, and interview preparation, enhancing their employability in the data science field.
DataMites provides data science course training in Jordan through online data science training in Jordan and self-paced training methods, offering flexibility and personalized learning opportunities.
Absolutely, DataMites ensures live projects as part of their Data Scientist Course in Jordan, featuring over 10 capstone projects and a hands-on client/live project.
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.