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 the interdisciplinary field that utilizes scientific methods, processes, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It functions by collecting, processing, and analyzing data to uncover patterns, trends, and valuable information, aiding informed decision-making and predictive modeling.
Data Science applications differ across industries. In healthcare, it aids in personalized medicine; finance utilizes it for risk assessment, and marketing employs it for targeted campaigns. Each industry leverages Data Science to address specific challenges and enhance operational efficiency.
A Data Science pipeline consists of data collection, cleaning, exploration, feature engineering, modeling, evaluation, and deployment. Each phase contributes to the systematic analysis and extraction of valuable insights from data.
Big Data, characterized by large and complex datasets, is intricately linked to Data Science. Data Science techniques are crucial for processing, analyzing, and deriving meaningful insights from Big Data, allowing organizations to make informed decisions based on massive and diverse datasets.
Data Science plays a pivotal role in e-commerce by enhancing customer experiences through recommendation systems. Analyzing user behavior and preferences, Data Science algorithms provide personalized product recommendations, increasing user engagement, satisfaction, and driving sales.
Data Science strengthens cybersecurity by identifying patterns indicative of cyber threats, predicting potential risks, and implementing proactive measures to secure systems and sensitive data. It aids in anomaly detection, threat intelligence, and the development of robust security protocols.
In diverse industries, Data Science is applied for predictive modeling, process optimization, and data-driven decision-making. For instance, in manufacturing, it aids in quality control, while in education, it facilitates personalized learning experiences. The adaptability of Data Science makes it a valuable tool for innovation and improvement across different sectors.
Data Science is a broader field encompassing data analysis, interpretation, and decision-making, while machine learning is a subset focused on creating algorithms for systems to learn from data. Data Science integrates various techniques, including machine learning, to extract insights and inform decisions.
Individuals with backgrounds in mathematics, statistics, computer science, or related fields are eligible for Data Science certification courses. Proficiency in programming languages like Python is advantageous.
To build a compelling portfolio, engage in diverse projects, showcase coding samples, incorporate visualizations, and provide explanations. Highlight real-world impact and problem-solving skills.
Yes, transitioning from a non-coding background to Data Science is feasible. Learn programming languages like Python or R, statistics, and machine learning to build a strong foundation.
While a bachelor's degree in computer science, statistics, or related fields is common, some enter with degrees in physics, engineering, or economics. Advanced degrees (master's or Ph.D.) can enhance prospects.
Essential skills include proficiency in programming, statistical analysis, machine learning, data visualization, and domain-specific knowledge. Strong communication and problem-solving skills are crucial for collaboration.
To start a Data Science Career in Cairo, acquire foundational knowledge in statistics, programming, and machine learning. Engage in real-world projects, build a robust portfolio, and seek internships or entry-level positions for practical experience. Networking within the local Data Science community in Cairo is valuable.
The data science job market in Cairo for 2024 is projected to be robust, with increasing demand for skilled professionals across various industries. Companies in finance, healthcare, and technology sectors are expected to actively recruit data scientists to leverage data for strategic decision-making.
In Cairo, the Certified Data Scientist Course is recognized among the best, offering a comprehensive curriculum covering essential aspects of data science.
Data science internships in Cairo are highly valuable as they offer hands-on experience, exposure to real-world projects, and networking opportunities. Internships significantly enhance practical skills and increase employability.
In the field of Data Science in Cairo, professionals can anticipate an average monthly salary of EGP 36,000, according to Glassdoor reports. This figure reflects the compensation trends for Data Scientists in Cairo, providing insights into the earning potential within the city's data science job market.
Yes, beginners can pursue Data Science courses in Cairo and secure employment. Entry-level positions such as data analyst or junior data scientist roles are accessible with the right skills, portfolio, and determination.
In finance, data science is applied for risk assessment, fraud detection, algorithmic trading, and customer segmentation. Predictive modeling and data analysis empower financial institutions in Cairo to make informed decisions, enhance customer experiences, and manage risks effectively.
Renowned as the world's most popular and comprehensive program, the DataMites Certified Data Scientist Course in Cairo is job-oriented, emphasizing Data Science and Machine Learning. Regular updates keep the course in line with industry needs, creating a finely-tuned learning structure for a streamlined educational experience.
Individuals new to data science in Cairo can access beginner-level training through courses like Certified Data Scientist, Data Science in Foundation, and Diploma in Data Science.
Yes, DataMites caters to working professionals in Cairo with specialized courses like Statistics for Data Science, Data Science with R Programming, Python for Data Science, Data Science Associate, and certifications in Operations, Marketing, HR, and Finance.
Depending on the course level, the DataMites data science courses in Cairo range from 1 month to 8 months in duration.
The Certified Data Scientist Training in Cairo is open to beginners and intermediate learners with no prerequisites, providing an accessible entry point into the field of data science.
DataMites' data science training programs in Cairo offer a competitive fee structure, ranging from EGP 16,400 to EGP 41,000. This pricing ensures accessibility and affordability for individuals seeking quality education and skill development in the dynamic field of data science.
DataMites ensures training excellence by selecting elite mentors and faculty members with hands-on experience from leading companies, including esteemed institutions like IIMs.
Yes, it is crucial for participants to bring a valid photo ID, such as a national ID card or driver's license, for the issuance of participation certificates and scheduling certification exams, if applicable.
DataMites provides recorded sessions and supplementary materials for participants in Cairo who miss a data science training session, ensuring they can catch up on the content at their convenience.
Yes, DataMites offers a demo class in Cairo, allowing participants to experience the course structure and content before committing to the data science training fee.
Yes, DataMites offers data science courses with internship opportunities in Cairo, providing participants with hands-on experience to enhance their practical skills in real-world scenarios.
The "Data Science for Managers" course by DataMites is meticulously crafted for managers and leaders. It imparts crucial skills to seamlessly integrate data science into decision-making processes, enabling strategic and well-informed choices.
Absolutely, in Cairo, attendees can opt for help sessions, facilitating a more profound comprehension of specific data science topics, fostering enhanced understanding and skill development.
Absolutely, the Data Scientist Course by DataMites in Cairo goes beyond theory, featuring 10+ capstone projects and a live client project. This ensures participants gain valuable hands-on experience, applying their skills to real-world scenarios.
Yes, DataMites issues a Data Science Course Completion Certificate upon successfully finishing the training. Participants can obtain it by completing all course requirements, assessments, and projects, showcasing their proficiency in data science.
The Flexi-Pass at DataMites provides flexibility in attending missed sessions. Participants can access recorded sessions, ensuring they don't miss crucial content, and fostering a convenient and adaptive learning experience.
The career mentoring sessions at DataMites are structured to provide personalized guidance on job placement strategies, resume building, and interview preparation. This one-on-one mentoring aids participants in charting their career paths effectively.
In Cairo, DataMites tailors its training methods to meet diverse participant needs. The live online training facilitates real-time interaction, fostering an engaging learning environment. Alternatively, participants can choose self-paced training, accessing recorded sessions at their convenience. This adaptable approach ensures personalized learning, accommodating various schedules, and enhancing overall outcomes.
After concluding the Data Science Training at DataMites in Cairo, participants earn the esteemed IABAC Certification, a globally acknowledged credential affirming their proficiency in data science concepts and applications. This certification is a valuable validation of expertise, bolstering their credibility in the dynamic 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.