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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 meaningful insights from large datasets using techniques like statistical analysis, machine learning, and data visualization. It encompasses the entire data lifecycle, from collection and preprocessing to analysis and interpretation.
A Data Scientist's responsibilities include collecting, cleaning, and analyzing data, developing predictive models, and communicating insights to support decision-making. They play a key role in solving complex problems and driving innovation within the company.
While a bachelor's degree in a related field is common, many Data Scientists hold advanced degrees such as a master's or Ph.D. Relevant skills, experience, and a strong foundation in mathematics and programming are crucial.
Data Science unfolds by first defining the problem and collecting relevant data. It involves data preprocessing, exploratory data analysis, model development, validation, deployment, and continuous monitoring. Collaboration and communication are integral throughout the process.
Statistics is fundamental in data science, aiding in data analysis, hypothesis testing, and model validation. It provides a robust framework for making informed decisions, drawing meaningful conclusions, and ensuring the reliability of data-driven insights.
Common challenges include data quality issues, model interpretability, and scalability. Solutions involve rigorous data preprocessing, employing explainable AI techniques, and optimizing algorithms for efficiency and scalability.
The Certified Data Scientist Course in Amman takes the lead in Amman's data science education landscape. This course imparts crucial skills, from programming to machine learning, offering hands-on training for participants to excel in the ever-evolving field of data science.
Aspiring Data Scientists need proficiency in programming languages, data manipulation, statistical analysis, machine learning, and strong communication skills. Problem-solving, critical thinking, and a continuous learning mindset are also essential for success in the field.
In Amman, a Data Scientist typically begins as an analyst, progressing to senior roles or specialized positions like machine learning engineer. Continuous learning, networking, and gaining hands-on experience contribute to career advancement.
Engaging in Data Science bootcamps proves beneficial for quick skill acquisition. These programs offer hands-on experience, mentorship, and networking, expediting entry into the field. However, the level of success relies on personal dedication and the caliber of the selected bootcamp.
Data Science in finance involves risk management, fraud detection, and customer segmentation. Predictive modeling and analytics optimize decision-making processes, enhancing customer experiences and detecting anomalies in financial transactions.
To launch a career in data science in Amman, individuals should acquire relevant educational qualifications, build a strong foundation in programming and statistics, engage in hands-on projects, and consider pursuing specialized certifications. Networking within the local data science community is also crucial.
Certification Courses for Data Science are open to individuals with backgrounds in mathematics, statistics, computer science, or related fields. Professionals seeking to enhance their analytical skills or transition into the field also find these courses beneficial.
In e-commerce, Data Science analyzes customer behavior, preferences, and transaction data to provide personalized recommendations. Machine learning algorithms power recommendation systems, tailoring user experiences, boosting engagement, and contributing to increased sales and customer satisfaction.
As per Salary Explorer, Data Scientists in Amman can expect to earn approximately 2,940 JOD annually. This reflects the standard compensation for individuals in this role, underscoring the competitive nature of salaries in Amman's data science sector
Data Science finds widespread application in industries such as finance, healthcare, e-commerce, manufacturing, and telecommunications. Its versatility empowers decision-making, enhances efficiency, and drives innovation across diverse sectors.
The data science project lifecycle comprises defining objectives, data collection, exploratory data analysis, model development, validation, deployment, and continuous monitoring. Each phase is crucial to 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, improving demand forecasting, and enhancing inventory management. It contributes to operational efficiency, cost reduction, and streamlined supply chain operations.
In e-commerce, Data Science analyzes customer behavior and transaction data to provide personalized recommendations. Machine learning algorithms power recommendation systems, enhancing user experiences, boosting engagement, and driving increased sales and customer satisfaction.
Participating in Data Science Internships is significant for gaining practical exposure to real-world projects. It allows individuals to apply theoretical knowledge, develop hands-on skills, and understand industry dynamics. Internships also enhance resumes, facilitate networking, and often lead to full-time employment opportunities.
While a bachelor's degree in a related field is common, advanced degrees such as a master's or Ph.D. are advantageous. Relevant skills, experience, and a solid foundation in mathematics and programming are crucial.
Delving into the data science education landscape, DataMites stands out by offering a spectrum of certifications. The flagship Certified Data Scientist course provides in-depth knowledge, while specialized tracks like Data Science for Managers and Data Science Associate cater to diverse skill sets.
The Diploma in Data Science offers a comprehensive curriculum, and specific courses in Statistics, Python, and various business domains such as Marketing, Operations, Finance, and HR provide a holistic learning approach.
Renowned globally, the DataMites Certified Data Scientist Course in Amman is a leading, all-encompassing program in Data Science and Machine Learning. Continuously updated to meet industry demands, this course is meticulously designed for structured and effective learning. With a focus on job readiness, it equips participants with the skills required to excel in the competitive realm of data science.
Certainly, before committing to the data science training fee in Amman, participants have the opportunity to attend a demo class with DataMites, allowing them to assess the course structure and content.
Newcomers in Amman can embark on their data science journey with accessible beginner-level training. The Certified Data Scientist course lays a robust foundation, while Data Science in Foundation introduces fundamental concepts. The Diploma in Data Science offers a comprehensive beginner-friendly curriculum. These courses from DataMites provide individuals with the essential knowledge needed to navigate and excel in the field of data science.
Yes, DataMites guarantees live projects as a component of their Data Scientist Course in Amman, encompassing more than 10 capstone projects and an impactful client/live project.
Absolutely, DataMites caters to the unique needs of working professionals, providing specialized data science courses such as Statistics, Python, and Certified Data Scientist Operations. Tailored offerings in Data Science with R Programming, and Certified Data Scientist courses for Marketing, HR, and Finance focus on targeted skill development.
DataMites' data scientist courses in Amman span from 1 to 8 months, with the duration determined by the course level.
Opting for online data science training in Amman with DataMites allows participants to learn conveniently from any location, breaking free from geographical limitations. The interactive online platform promotes engagement through discussions, forums, and collaborative activities, enriching the data science training experience.
The fee structure for DataMites' data science course fee in Amman ranges from JOD 375 to JOD 937, providing participants with flexibility in choosing a plan that suits their learning needs and budget.
DataMites selects trainers based on their elite status, with faculty members who have real-time experience from leading companies and renowned institutes like IIMs conducting the data science training sessions.
Absolutely, participants are required to bring a valid photo identification proof, such as a national ID card or driver's license, to collect their participation certificate and, if needed, to schedule the certification exam in the data science training sessions.
If a participant misses a data science training session in Amman, DataMites provides recorded sessions for review, allowing individuals to catch up on the content. Additionally, participants can schedule one-on-one sessions with trainers to discuss any questions or uncertainties related to the missed session, ensuring a thorough understanding of the material.
Yes, DataMites offers Data Science Courses with internships in Amman, providing practical exposure through internships with AI companies.
Specifically designed for managers and leaders, "Data Science for Managers" at DataMites is the perfect course to integrate data science into decision-making processes.
Yes, participants completing the data science course training in Amman with DataMites are awarded a certification, acknowledging their accomplishment and expertise in the realm of data science.
Certainly, in Amman, DataMites provides help sessions, allowing participants to seek assistance and gain a deeper understanding of specific data science topics during their training.
DataMites grants IABAC Certification upon completion of Data Science Training in Amman, acknowledging participants' proficiency in the field.
DataMites' Flexi-Pass in Amman empowers participants to customize their data science training schedule, offering flexibility to align with individual commitments. This ensures a personalized and convenient learning experience.
In Amman, DataMites' career mentoring sessions are structured to provide personalized guidance, helping participants navigate the data science job market successfully through expert insights and strategic advice.
At DataMites, the data science course training in Amman is conducted through online data science training in Amman and self-paced training methods, ensuring adaptability and personalized learning experiences.
There are no prerequisites for Certified Data Scientist Training in Amman, making it suitable for beginners and intermediate learners in data science.
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.