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UPCOMING DATA SCIENCE ONLINE CLASSES IN MOROCCO

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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.

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WHY DATAMITES INSTITUTE FOR DATA SCIENCE COURSE

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SYLLABUS OF DATA SCIENCE COURSE IN MOROCCO

MODULE 1: DATA SCIENCE ESSENTIALS 

 • Introduction to Data Science
 • Evolution of Data Science
 • Big Data Vs Data Science
 • Data Science Terminologies
 • Data Science vs AI/Machine Learning
 • Data Science vs Analytics

MODULE 2: DATA SCIENCE DEMO

 • Business Requirement: Use Case
 • Data Preparation
 • Machine learning Model building
 • Prediction with ML model
 • Delivering Business Value.

MODULE 3: ANALYTICS CLASSIFICATION 

 • Types of Analytics
 • Descriptive Analytics
 • Diagnostic Analytics
 • Predictive Analytics
 • Prescriptive Analytics
 • EDA and insight gathering demo in Tableau

MODULE 4: DATA SCIENCE AND RELATED FIELDS

 • Introduction to AI
 • Introduction to Computer Vision
 • Introduction to Natural Language Processing
 • Introduction to Reinforcement Learning
 • Introduction to GAN
 • Introduction to Generative Passive Models

MODULE 5: DATA SCIENCE ROLES & WORKFLOW

 • Data Science Project workflow
 • Roles: Data Engineer, Data Scientist, ML Engineer and MLOps Engineer
 • Data Science Project stages.

MODULE 6: MACHINE LEARNING INTRODUCTION

 • What Is ML? ML Vs AI
 • ML Workflow, Popular ML Algorithms
 • Clustering, Classification And Regression
 • Supervised Vs Unsupervised

MODULE 7: DATA SCIENCE INDUSTRY APPLICATIONS

 • Data Science in Finance and Banking
 • Data Science in Retail
 • Data Science in Health Care
 • Data Science in Logistics and Supply Chain
 • Data Science in Technology Industry
 • Data Science in Manufacturing
 • Data Science in Agriculture

MODULE 1: PYTHON BASICS 

 • Introduction of python
 • Installation of Python and IDE
 • Python Variables
 • Python basic data types
 • Number & Booleans, strings
 • Arithmetic Operators
 • Comparison Operators
 • Assignment Operators

MODULE 2: PYTHON CONTROL STATEMENTS 

 • IF Conditional statement
 • IF-ELSE
 • NESTED IF
 • Python Loops basics
 • WHILE Statement
 • FOR statements
 • BREAK and CONTINUE statements

MODULE 3: PYTHON DATA STRUCTURES 

 • Basic data structure in python
 • Basics of List
 • List: Object, methods
 • Tuple: Object, methods
 • Sets: Object, methods
 • Dictionary: Object, methods

MODULE 4: PYTHON FUNCTIONS 

 • Functions basics
 • Function Parameter passing
 • Lambda functions
 • Map, reduce, filter functions

MODULE 1: OVERVIEW OF STATISTICS 

 • Introduction to Statistics
 • Descriptive And Inferential Statistics
 • Basic Terms Of Statistics
 • Types Of Data

MODULE 2: HARNESSING DATA 

 • Random Sampling
 • Sampling With Replacement And Without Replacement
 • Cochran's Minimum Sample Size
 • Types of Sampling
 • Simple Random Sampling
 • Stratified Random Sampling
 • Cluster Random Sampling
 • Systematic Random Sampling
 • Multi stage Sampling
 • Sampling Error
 • Methods Of Collecting Data

MODULE 3: EXPLORATORY DATA ANALYSIS 

 • Exploratory Data Analysis Introduction
 • Measures Of Central Tendencies: Mean,Median And Mode
 • Measures Of Central Tendencies: Range, Variance And Standard Deviation
 • Data Distribution Plot: Histogram
 • Normal Distribution & Properties
 • Z Value / Standard Value
 • Empirical Rule and Outliers
 • Central Limit Theorem
 • Normality Testing
 • Skewness & Kurtosis
 • Measures Of Distance: Euclidean, Manhattan And Minkowski Distance
 • Covariance & Correlation

MODULE 4: HYPOTHESIS TESTING 

 • Hypothesis Testing Introduction
 • P- Value, Critical Region
 • Types of Hypothesis Testing
 • Hypothesis Testing Errors : Type I And Type II
 • Two Sample Independent T-test
 • Two Sample Relation T-test
 • One Way Anova Test
 • Application of Hypothesis testing

 

MODULE 1: MACHINE LEARNING INTRODUCTION 

 • What Is ML? ML Vs AI
 • Clustering, Classification And Regression
 • Supervised Vs Unsupervised

MODULE 2:  PYTHON NUMPY  PACKAGE 

 • Introduction to Numpy Package
 • Array as Data Structure
 • Core Numpy functions
 • Matrix Operations, Broadcasting in Arrays

MODULE 3:  PYTHON PANDAS PACKAGE 

 • Introduction to Pandas package
 • Series in Pandas
 • Data Frame in Pandas
 • File Reading in Pandas
 • Data munging with Pandas

MODULE 4: VISUALIZATION WITH PYTHON - Matplotlib

 • Visualization Packages (Matplotlib)
 • Components Of A Plot, Sub-Plots
 • Basic Plots: Line, Bar, Pie, Scatter

MODULE 5: PYTHON VISUALIZATION PACKAGE - SEABORN

 • Seaborn: Basic Plot
 • Advanced Python Data Visualizations

MODULE 6: ML ALGO: LINEAR REGRESSSION

 • Introduction to Linear Regression
 • How it works: Regression and Best Fit Line
 • Modeling and Evaluation in Python

MODULE 7: ML ALGO: LOGISTIC REGRESSION

 • Introduction to Logistic Regression
 • How it works: Classification & Sigmoid Curve
 • Modeling and Evaluation in Python

MODULE 8: ML ALGO: K MEANS CLUSTERING

 • Understanding Clustering (Unsupervised)
 • K Means Algorithm
 • How it works : K Means theory
 • Modeling in Python

MODULE 9: ML ALGO: KNN

 • Introduction to KNN
 • How It Works: Nearest Neighbor Concept
 • Modeling and Evaluation in Python

MODULE 1: FEATURE ENGINEERING 

 • Introduction to Feature Engineering
 • Feature Engineering Techniques: Encoding, Scaling, Data Transformation
 • Handling Missing values, handling outliers
 • Creation of Pipeline
 • Use case for feature engineering

MODULE 2: ML ALGO: SUPPORT VECTOR MACHINE (SVM)

 • Introduction to SVM
 • How It Works: SVM Concept, Kernel Trick
 • Modeling and Evaluation of SVM in Python

MODULE 3: PRINCIPAL COMPONENT ANALYSIS (PCA)

 • Building Blocks Of PCA
 • How it works: Finding Principal Components
 • Modeling PCA in Python

MODULE 4:  ML ALGO: DECISION TREE 

 • Introduction to Decision Tree & Random Forest
 • How it works
 • Modeling and Evaluation in Python

MODULE 5: ENSEMBLE TECHNIQUES - BAGGING 

 • Introduction to Ensemble technique 
 • Bagging and How it works
 • Modeling and Evaluation in Python

MODULE 6: ML ALGO: NAÏVE BAYES

 • Introduction to Naive Bayes
 • How it works: Bayes' Theorem
 • Naive Bayes For Text Classification
 • Modeling and Evaluation in Python

MODULE 7: GRADIENT BOOSTING, XGBOOST

 • Introduction to Boosting and XGBoost
 • How it works?
 • Modeling and Evaluation of in Python

MODULE 1: TIME SERIES FORECASTING - ARIMA 

 • What is Time Series?
 • Trend, Seasonality, cyclical and random
 • Stationarity of Time Series
 • Autoregressive Model (AR)
 • Moving Average Model (MA)
 • ARIMA Model
 • Autocorrelation and AIC
 • Time Series Analysis in Python 

MODULE 2: SENTIMENT ANALYSIS 

 • Introduction to Sentiment Analysis
 • NLTK Package
 • Case study: Sentiment Analysis on Movie Reviews

MODULE 3: REGULAR EXPRESSIONS WITH PYTHON 

 • Regex Introduction
 • Regex codes
 • Text extraction with Python Regex

MODULE 4:  ML MODEL DEPLOYMENT WITH FLASK 

 • Introduction to Flask
 • URL and App routing
 • Flask application – ML Model deployment

MODULE 5: ADVANCED DATA ANALYSIS WITH MS EXCEL

 • MS Excel core Functions
 • Advanced Functions (VLOOKUP, INDIRECT..)
 • Linear Regression with EXCEL
 • Data Table
 • Goal Seek Analysis
 • Pivot Table
 • Solving Data Equation with EXCEL

MODULE 6:  AWS CLOUD FOR DATA SCIENCE

 • Introduction of cloud
 • Difference between GCC, Azure, AWS
 • AWS Service ( EC2 instance)

MODULE 7: AZURE FOR DATA SCIENCE

 • Introduction to AZURE ML studio
 • Data Pipeline
 • ML modeling with Azure

MODULE 8:  INTRODUCTION TO DEEP LEARNING

 • Introduction to Artificial Neural Network, Architecture
 • Artificial Neural Network in Python
 • Introduction to Convolutional Neural Network, Architecture
 • Convolutional Neural Network in Python

MODULE 1: DATABASE INTRODUCTION 

 • DATABASE Overview
 • Key concepts of database management
 • Relational Database Management System
 • CRUD operations

MODULE 2:  SQL BASICS

 • Introduction to Databases
 • Introduction to SQL
 • SQL Commands
 • MY SQL workbench installation

MODULE 3: DATA TYPES AND CONSTRAINTS 

 • Numeric, Character, date time data type
 • Primary key, Foreign key, Not null
 • Unique, Check, default, Auto increment

MODULE 4: DATABASES AND TABLES (MySQL) 

 • Create database
 • Delete database
 • Show and use databases
 • Create table, Rename table
 • Delete table, Delete table records
 • Create new table from existing data types
 • Insert into, Update records
 • Alter table

MODULE 5: SQL JOINS 

 • Inner Join, Outer Join
 • Left Join, Right Join
 • Self Join, Cross join
 • Windows function: Over, Partition, Rank

MODULE 6: SQL COMMANDS AND CLAUSES 

 • Select, Select distinct
 • Aliases, Where clause
 • Relational operators, Logical
 • Between, Order by, In
 • Like, Limit, null/not null, group by
 • Having, Sub queries

MODULE 7 : DOCUMENT DB/NO-SQL DB 

 • Introduction of Document DB
 • Document DB vs SQL DB
 • Popular Document DBs
 • MongoDB basics
 • Data format and Key methods

MODULE 1: GIT  INTRODUCTION 

 • Purpose of Version Control
 • Popular Version control tools
 • Git Distribution Version Control
 • Terminologies
 • Git Workflow
 • Git Architecture

MODULE 2: GIT REPOSITORY and GitHub 

 • Git Repo Introduction
 • Create New Repo with Init command
 • Git Essentials: Copy & User Setup
 • Mastering Git and GitHub

MODULE 3: COMMITS, PULL, FETCH AND PUSH 

 • Code Commits
 • Pull, Fetch and Conflicts resolution
 • Pushing to Remote Repo

MODULE 4: TAGGING, BRANCHING AND MERGING 

 • Organize code with branches
 • Checkout branch
 • Merge branches
 • Editing Commits
 • Commit command Amend flag
 • Git reset and revert

MODULE 5: GIT WITH GITHUB AND BITBUCKET

 • Creating GitHub Account
 • Local and Remote Repo
 • Collaborating with other developers

MODULE 1: BIG DATA INTRODUCTION 

 • Big Data Overview
 • Five Vs of Big Data
 • What is Big Data and Hadoop
 • Introduction to Hadoop
 • Components of Hadoop Ecosystem
 • Big Data Analytics Introduction

MODULE 2 : HDFS AND MAP REDUCE 

 • HDFS – Big Data Storage
 • Distributed Processing with Map Reduce
 • Mapping and reducing stages concepts
 • Key Terms: Output Format, Partitioners,
 • Combiners, Shuffle, and Sort

MODULE 3: PYSPARK FOUNDATION 

 • PySpark Introduction
 • Spark Configuration
 • Resilient distributed datasets (RDD)
 • Working with RDDs in PySpark
 • Aggregating Data with Pair RDDs

MODULE 4: SPARK SQL and HADOOP HIVE 

 • Introducing Spark SQL
 • Spark SQL vs Hadoop Hive

MODULE 1: TABLEAU FUNDAMENTALS 

 • Introduction to Business Intelligence & Introduction to Tableau
 • Interface Tour, Data visualization: Pie chart, Column chart, Bar chart.
 • Bar chart, Tree Map, Line Chart
 • Area chart, Combination Charts, Map
 • Dashboards creation, Quick Filters
 • Create Table Calculations
 • Create Calculated Fields
 • Create Custom Hierarchies

MODULE 2:  POWER-BI BASICS

 • Power BI Introduction 
 • Basics Visualizations
 • Dashboard Creation
 • Basic Data Cleaning
 • Basic DAX FUNCTION

MODULE 3 : DATA TRANSFORMATION TECHNIQUES 

 • Exploring Query Editor
 • Data Cleansing and Manipulation:
 • Creating Our Initial Project File
 • Connecting to Our Data Source
 • Editing Rows
 • Changing Data Types
 • Replacing Values

MODULE 4: CONNECTING TO VARIOUS DATA SOURCES 

• Connecting to a CSV File
 • Connecting to a Webpage
 • Extracting Characters
 • Splitting and Merging Columns
 • Creating Conditional Columns
 • Creating Columns from Examples
 • Create Data Model

OFFERED DATA SCIENCE COURSES IN MOROCCO

DATA SCIENCE COURSE REVIEWS

ABOUT DATA SCIENTIST TRAINING IN MOROCCO

Embark on a journey into the captivating realm of data science, a domain experiencing remarkable global growth. According to Polaris Market Research, the Data Science Platform Market is anticipated to reach USD 695.0 Billion by 2030, with an impressive annual growth rate of 27.6%. In Morocco, this burgeoning field presents unique opportunities and challenges within its evolving landscape.

For those aspiring to excel in the dynamic field of data science in Morocco, DataMites stands as a leading institute, offering globally acclaimed training. Our Certified Data Scientist Course in Morocco is tailored for both beginners and intermediate learners, ensuring a solid foundation in data science principles. Renowned as the world's most popular, comprehensive, and job-oriented program, our courses are designed to meet the evolving needs of the industry. Enhance your skills with IABAC Certification, validating your expertise in the field.

DataMites: Structured Data Science Training in Morocco

Embark on a structured data science training in Morocco journey with DataMites in Morocco, organized into three comprehensive phases to ensure a holistic learning experience:

Phase 1: Pre-Course Self-Study

Begin your education with high-quality videos employing an easy learning approach, laying the groundwork for your data science knowledge.

Phase 2: Live Training

Immerse yourself in a comprehensive syllabus featuring hands-on projects and guidance from expert trainers and mentors. Gain a practical understanding of data science concepts through interactive live sessions.

Phase 3: 4-Month Project Mentoring

Culminate your data science courses in Morocco with a 4-month project phase, including mentorship, internship opportunities, 20 capstone projects, participation in one client/live project, and an experience certificate to solidify your practical skills.

Why Choose DataMites for Your Data Science Training in Morocco?

Select DataMites as your gateway to excellence in data science training in Morocco, offering a myriad of compelling reasons to shape your future:

1. Ashok Veda and Expert Faculty

Benefit from the leadership of Ashok Veda, a seasoned professional with over 19 years of experience in data science and analytics. As the Founder & CEO at Rubixe™, he brings unparalleled expertise to our top-tier education, ensuring a mentorship experience like no other.

2. Comprehensive Course Curriculum

Immerse yourself in an 8-month program with over 700 learning hours, providing an in-depth understanding of data science principles. Our curriculum is meticulously crafted to meet the industry's evolving demands.

3. Global Certification - IABAC® 

Elevate your credentials with prestigious certifications recognized globally. DataMites provides IABAC® Certification, endorsing your proficiency in data science and enhancing your marketability.

4. Flexible Learning Options

Experience the flexibility of online data science courses and self-study, catering to diverse learning preferences and schedules. Tailor your learning journey to align with your lifestyle and commitments.

5. Real-World Projects and Internship Opportunities

Apply your knowledge through 20 capstone projects and one client project, actively engaging with real-world data. Seize internship opportunities to enhance your practical skills, ensuring a seamless transition into the professional sphere.

6. Career Guidance and Job Support

Navigate your career path with end-to-end job support, personalized resume and data science interview preparation, and stay informed with job updates and valuable connections. DataMites is committed to empowering your career advancement.

7. DataMites Exclusive Learning Community

Join an exclusive learning community, fostering collaboration and networking among DataMites students and professionals. Benefit from a supportive ecosystem that extends beyond the classroom.

8. Affordable Pricing and Scholarships

Experience quality education at an accessible cost with DataMites' affordable pricing for Data Scientist Courses in Morocco, ranging from MAD 5239 to MAD 13099. Explore scholarship opportunities to further support your educational journey. Choose affordability without compromising excellence at DataMites.

Data Scientists Salary in Morocco enjoy lucrative compensation, with an average salary of MAD 150,000, as reported by Payscale. This high earning potential reflects the growing demand for skilled professionals in the field. Data Scientists are highly valued for their expertise in deriving meaningful insights from complex datasets, making it a rewarding and sought-after career path in the Moroccan job market.

Elevate your career with DataMites, where excellence in data science education is not just a promise but a commitment. Beyond Data Science, explore our array of meticulously crafted courses, including Artificial Intelligence, Data Engineering, Data Analytics, Machine Learning, Python, Tableau, and more. Each course is designed to equip you with comprehensive knowledge and practical skills, ensuring you are ready to meet the challenges of the evolving tech landscape.

ABOUT DATAMITES DATA SCIENCE COURSE IN MOROCCO

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.

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FAQ’S OF DATA SCIENCE TRAINING IN MOROCCO

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: -

  • 1. Job connect
  • 2. Resume Building
  • 3. Mock interview with industry experts
  • 4. Interview questions

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.

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