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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 employs scientific methods, processes, algorithms, and systems to extract valuable insights and knowledge from structured and unstructured data. It encompasses a wide range of techniques, including statistics, machine learning, and data analysis, to inform decision-making and uncover patterns within complex datasets.
Data Science is a transformative force across industries such as finance, healthcare, marketing, and technology. It serves as the backbone for data-driven decision-making, optimizing processes, predicting trends, and deriving actionable insights to enhance efficiency and competitiveness.
The Data Science process operates through a systematic cycle involving data collection, cleaning, exploration, modeling, validation, and interpretation. This iterative approach allows data scientists to explore, analyze, and extract meaningful information, fostering continuous improvement and refinement of models.
Data Science finds practical applications in finance for risk management, healthcare for disease prediction, marketing for personalized recommendations, and technology for natural language processing. It enhances decision-making, streamlines operations, and brings valuable insights to the forefront of decision-makers.
Data Science Certification Courses are open to individuals with varied backgrounds. Anyone passionate about data analysis, be it students, working professionals, or career changers, can enroll. These courses cater to a diverse audience, providing foundational and advanced skills to navigate the complexities of data science.
Professionals in data science commonly leverage a suite of tools, including Python and R for programming, SQL for database management, and frameworks like TensorFlow and scikit-learn for machine learning tasks. Visualization tools such as Tableau and Matplotlib are also popular for conveying data insights effectively.
Python and R are foundational programming languages in data science. Python's versatility and extensive libraries make it a preferred choice for general-purpose programming, while R excels in statistical analysis and visualization, providing a comprehensive toolkit for data scientists.
Beginner-friendly data science projects include predicting housing prices, sentiment analysis on social media data, or developing a basic recommendation system. These projects offer hands-on experience with data manipulation, exploratory analysis, and foundational machine learning concepts, providing a solid introduction to the field.
Aspiring Data Scientists need proficiency in programming languages like Python or R, statistical analysis, machine learning, data wrangling, and effective communication. Critical thinking, problem-solving, and domain knowledge are crucial for interpreting results and making data-driven decisions.
In Morocco, a Data Scientist often begins as an analyst, progressing to roles like Senior Data Scientist or Analytics Manager. With experience, opportunities may arise for specialized roles, such as machine learning engineer or data science team lead.
Initiating a data science career in Morocco involves acquiring relevant skills through online courses, building a strong portfolio, and networking with professionals. Joining local data science communities and considering internships can provide valuable exposure.
Opt for the Certified Data Scientist Course in Morocco, a highly acclaimed program. It covers programming languages, statistical analysis, and machine learning, ensuring participants gain expertise in the core areas of data science, enhancing their employability and career prospects.
Yes, data science internships in Morocco are valuable as they offer practical experience, exposure to real-world projects, and networking opportunities. Internships enhance employability by allowing candidates to apply theoretical knowledge in practical settings, making them attractive to employers.
Data scientists in Morocco experience competitive compensation, with an average salary of MAD 150,000, according to Payscale. The field of data science is evidently well-rewarded in Morocco, reflecting the increasing demand for professionals with expertise in handling and interpreting data.
Absolutely, transitioning from a non-coding background to data science is feasible. With dedication and learning programming languages like Python or R, individuals can build a strong foundation, undertake relevant courses, and successfully enter the field.
Yes, newcomers in Morocco with no prior experience can undertake data science courses. Building a robust skill set, gaining practical experience through projects, and networking can significantly enhance employability in the growing data science job market.
In e-commerce, data science powers recommendation systems by analyzing user behavior, preferences, and purchase history. Utilizing algorithms, these systems provide personalized product recommendations, enhancing user experience, and driving sales.
Data science optimizes manufacturing and supply chain operations by predicting demand, optimizing inventory, and improving logistics. Predictive maintenance and quality control further streamline processes, reducing inefficiencies and improving overall efficiency.
Industries actively seeking professionals with data science expertise in Morocco include finance for risk analysis, healthcare for predictive modeling, e-commerce for customer analytics, and technology for algorithm development. Emerging sectors like smart cities and renewable energy also demonstrate a growing demand.
While a degree in data science, computer science, or related fields is beneficial, practical skills and experience are crucial. Many successful data scientists come from diverse educational backgrounds, including mathematics, statistics, engineering, or even interdisciplinary fields. Continuous learning and staying updated on industry trends are equally important.
DataMites Certified Data Scientist Course in Morocco is renowned as the foremost job-oriented program in Data Science and Machine Learning worldwide. Its continual updates, adapting to industry requirements, establish a well-structured learning path for efficient skill development.
In Morocco, DataMites provides an extensive selection of data science certifications. These encompass the Certified Data Scientist, Data Science for Managers, Data Science Associate, Diploma in Data Science, Statistics for Data Science, Python for Data Science, and specialized tracks like Marketing, Operations, Finance, HR, and R, offering a diverse range of options to meet different professional needs.
DataMites in Morocco caters to beginners in data science with accessible training programs, including Certified Data Scientist, Data Science in Foundation, and Diploma in Data Science. These courses equip newcomers with fundamental skills, ensuring a smooth entry into the dynamic field of data science.
Choosing online data science training in Morocco with DataMites enables learning from any location, eliminating geographical restrictions. The interactive platform encourages engagement through discussions, forums, and collaborative activities, enhancing the overall quality of the data science training experience.
Working professionals in Morocco can enhance their data science knowledge through specialized courses by DataMites. Offerings such as Statistics for Data Science, Data Science with R Programming, Python for Data Science, Data Science Associate, and Certified Data Scientist courses in Operations, Marketing, HR, and Finance address the unique needs of professionals looking to augment their skills in specific areas of data science.
Upon completing Data Science Training in Morocco with DataMites, participants receive IABAC certifications, confirming their proficiency in the field and enhancing their industry credibility.
DataMites data scientist courses in Morocco have durations ranging from 1 to 8 months, providing flexibility to learners based on their specific course level and learning pace.
There are no prerequisites for the Certified Data Scientist Training in Morocco, specifically tailored for beginners and intermediate learners in the field of data science.
The fee structure for DataMites' data science training in Morocco is designed to be inclusive, ranging from MAD 5239 to MAD 13099. This provides flexibility for participants to choose a program that aligns with their budget and learning objectives.
The selection of trainers at DataMites is based on expertise and real-world proficiency. The data science training sessions are led by elite mentors and faculty members with practical experience from leading companies and distinguished institutes such as IIMs, ensuring a valuable and insightful learning journey.
It is mandatory for participants to carry a valid photo identification proof, like a national ID card or driver's license, to the data science training sessions. This documentation is necessary for acquiring a participation certificate and organizing any relevant certification exams.
DataMites' "Data Science for Managers" course is tailored for managers and leaders, guiding them in integrating data science into decision-making for strategic advantages.
If you're unable to make it to a data science training session in Morocco, don't worry – session recordings are available. This ensures you can review the material whenever it suits you, keeping you well-informed even if you couldn't join the live session. Dedicated Q&A sessions are also scheduled for participants who miss out.
Explore our data science training in Morocco with a complimentary demo class. This exclusive preview allows you to understand our teaching approach, evaluate content, and experience the teaching style, ensuring your comfort before deciding on the training fee.
Yes, DataMites offers Data Science Courses with internship opportunities in Morocco, allowing participants to gain practical experience with AI companies.
Yes, attendees in Morocco can participate in help sessions to gain a better understanding of specific data science topics. These sessions offer an opportunity for interactive discussions, addressing queries, and clarifying concepts. The availability of help sessions underscores the commitment to providing additional support, fostering a conducive learning environment for participants in Morocco.
Participants in DataMites' data science courses in Morocco can choose from online data science training in Morocco and self-paced training methods, ensuring a personalized and flexible learning experience.
Certainly, DataMites in Morocco provides a Data Scientist Course with 10+ capstone projects and a client/live project, offering participants valuable experience in applying their skills to real-world scenarios.
The Flexi-Pass in data science training courses in Morocco introduces a revolutionary approach, empowering learners to shape their educational path. This model enables students to customize their curriculum, select specific modules, and dictate their learning pace. Accommodating various schedules and preferences, Flexi-Pass facilitates a personalized and effective mastery of data science concepts.
Career mentoring sessions in the training follow a well-defined structure. Participants engage in personalized one-on-one sessions with seasoned mentors. These sessions encompass various aspects, such as defining career goals, developing targeted skills, and navigating the data science job market. The structured format ensures that participants receive individualized guidance, creating a supportive environment for making informed career choices.
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.