Instructor Led Live Online
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 is a multidisciplinary field that extracts insights and knowledge from structured and unstructured data. It employs scientific methods, processes, algorithms, and systems to analyze and interpret complex data.
Data Science involves collecting, cleaning, and analyzing data to extract valuable insights. Techniques like machine learning and statistical modeling are applied to make predictions and inform decision-making.
Data Science finds applications in various fields such as finance, healthcare, marketing, and more, facilitating data-driven decision-making, predictions, and pattern recognition.
A Data Science pipeline typically includes data collection, cleaning, exploration, feature engineering, modeling, evaluation, and deployment phases.
Big Data refers to large and complex datasets that cannot be processed with traditional methods. Data Science utilizes advanced techniques to extract meaningful insights from Big Data.
In e-commerce, Data Science powers recommendation systems by analyzing user behavior to suggest personalized products, improving customer experience, and boosting sales through targeted recommendations.
Data Science enhances cybersecurity by identifying patterns indicative of cyber threats, predicting potential risks, and implementing proactive measures to secure systems and data.
Data Science revolutionizes industries by optimizing processes, making informed decisions, and predicting trends. In healthcare, it aids in personalized treatments; finance uses it for risk analysis, while retail employs it for inventory optimization and customer insights.
Data Science encompasses a broader scope, involving data analysis, interpretation, and decision-making. Machine Learning is a subset, focusing specifically on creating algorithms that enable systems to learn from data and make predictions or decisions.
Data Science courses are suitable for individuals with a background in mathematics, statistics, computer science, or related fields. Proficiency in programming languages like Python is beneficial.
A compelling data science portfolio should showcase projects, datasets, and the impact of your analyses. Include a mix of coding samples, visualizations, and explanations to demonstrate your skills and problem-solving abilities.
Yes, transitioning from a non-coding background to data science is feasible. Focus on learning programming languages like Python or R, statistics, and machine learning concepts to build a solid foundation.
While a bachelor's degree in computer science, statistics, or a related field is common, some enter the field with degrees in physics, engineering, or economics. Advanced degrees (master's or Ph.D.) can enhance prospects.
Key skills include proficiency in programming languages, statistical analysis, machine learning, data visualization, and domain-specific knowledge. Strong communication and problem-solving skills are also crucial for effective collaboration and decision-making.
Begin by acquiring foundational knowledge in statistics, programming, and machine learning. Engage in real-world projects, build a robust portfolio, and seek internships or entry-level positions to gain practical experience. Networking within the local data science community can open doors to opportunities in Egypt.
The data science job market in Egypt is flourishing in 2024, with a growing demand for skilled professionals. Industries such as finance, healthcare, and e-commerce are actively seeking data scientists to harness insights for strategic decision-making.
The Certified Data Scientist Course stands out as a premier choice for data science training in Egypt, encompassing crucial subjects like machine learning and data analysis.
Data science internships in Egypt are highly valuable as they provide practical experience, exposure to real-world projects, and networking opportunities. Internships enhance skills, making candidates more competitive in the job market.
The typical annual salary for Data Scientists in Egypt averages EGP 291,205, reflecting the compensation received by professionals in this field. This figure provides an insight into the remuneration expectations for individuals pursuing a career in data science within the Egyptian job market.
Yes, freshers can pursue data science courses in Egypt and secure jobs. Entry-level positions may include data analyst or junior data scientist roles. Building a strong portfolio, engaging in internships, and showcasing practical skills will enhance a fresher's employability in the evolving data science job market.
The DataMites Certified Data Scientist Course in Egypt stands out as the world's most popular, comprehensive, and job-oriented program in Data Science and Machine Learning. It undergoes regular updates to align with industry requirements, ensuring it remains current. The course is meticulously fine-tuned to provide a structured learning process, facilitating efficient and focused learning for participants.
Beginner-level data science training options in Egypt for newcomers include the Certified Data Scientist, Data Science in Foundation, and Diploma in Data Science courses.
Absolutely, DataMites in Egypt provides a variety of courses tailored for working professionals looking to enhance their knowledge, including Statistics for Data Science, Data Science with R Programming, Python for Data Science, Data Science Associate, and specialized certifications in Operations, Marketing, HR, and Finance.
The duration of DataMites' data scientist course in Egypt varies between 1 month and 8 months, contingent upon the specific course level.
No prerequisites are necessary for enrolling in the Certified Data Scientist Training in Egypt, making it suitable for beginners and intermediate learners in the field of data science.
The fee structure for DataMites' data science training programs in Egypt ranges from EGP 16,400 to EGP 41,000. This pricing model provides individuals with affordable options to access quality education and enhance their skills in the field of data science.
Expert mentors and faculty members with real-time experience from top companies, including elite institutions like IIMs, conduct DataMites' data science training sessions.
Absolutely, participants must bring a valid photo identification proof, such as a national ID card or driver's license, when collecting their participation certificate or scheduling the certification exam, if necessary.
DataMites provides recorded sessions and supplementary materials for participants who miss a data science training session in Egypt, ensuring they can catch up at their convenience.
Yes, DataMites offers an opportunity for a demo class in Egypt before committing to the data science training fee, allowing participants to experience the course structure and content.
DataMites provides data science courses with internship opportunities in Egypt, allowing participants to gain practical experience and enhance their skills in real-world scenarios.
The "Data Science for Managers" course at DataMites is specifically designed for managers and leaders. Tailored to their needs, it equips them with the essential skills to effectively integrate data science into decision-making processes, fostering informed and strategic choices.
Yes, participants in Egypt have the option to attend help sessions, offering a valuable opportunity for a deeper understanding of specific data science topics, ensuring comprehensive learning and addressing individual queries.
Yes, DataMites in Egypt offers a Data Scientist Course that includes hands-on experience through 10+ capstone projects and a dedicated client/live project. This practical exposure enhances participants' skills, providing real-world application and industry-relevant experience.
Yes, DataMites issues a Data Science Course Completion Certificate. Upon completing the course, participants can request the certificate through the online portal. The certificate verifies their proficiency in data science, enhancing their credibility in the job market.
Flexi-Pass at DataMites allows participants flexibility in attending missed sessions. This feature enables access to recorded sessions and supplementary materials, ensuring a seamless learning experience tailored to individual schedules.
The career mentoring sessions at DataMites follow an interactive format, providing personalized guidance on resume building, interview preparation, and career strategies. These sessions offer valuable insights and strategies to enhance participants' professional journey in the field of data science.
Online Training: DataMites in Egypt offers live online training, providing real-time interaction with instructors, fostering an engaging and interactive learning environment for participants.
Self-Paced Training: Participants have the flexibility to access recorded sessions at their convenience, ensuring a personalized learning pace and accommodating diverse schedules for optimal learning outcomes.
Upon completing DataMites' Data Science Training in Egypt, participants receive the prestigious IABAC Certification. This internationally recognized certification attests to their mastery of data science concepts and practical applications. It serves as a valuable credential, validating their expertise and enhancing their credibility in the field of 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.