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 involves extracting insights from data using scientific methods, algorithms, and systems. It integrates statistical analysis, programming, and domain expertise to uncover patterns, trends, and valuable information for informed decision-making.
Real-world applications benefiting from Data Science include finance for risk analysis, healthcare for predictive modeling, marketing for customer segmentation, and technology for algorithm development. It revolutionizes processes and enhances decision-making across diverse industries.
Beginner-friendly data science projects include predicting housing prices, sentiment analysis on social media, or creating a basic recommendation system. These hands-on projects provide valuable experience in data manipulation, visualization, and basic machine learning concepts.
Courses for Data Science Certification are open to individuals with diverse backgrounds. Students, working professionals, or anyone passionate about data analysis can enroll to gain expertise in statistical analysis, programming, and machine learning.
While a degree in data science, computer science, or related fields is beneficial, practical skills and experience are crucial. Successful data scientists often hold degrees in mathematics, statistics, engineering, or have interdisciplinary backgrounds.
Essential tools for data scientists include programming languages (Python, R), statistical software (SAS, SPSS), and frameworks (TensorFlow, scikit-learn). Visualization tools like Tableau and programming environments like Jupyter are commonly used for data analysis.
Commonly utilized programming languages in data science are Python and R. Python's versatility and extensive libraries make it widely adopted, while R is preferred for statistical analysis and data visualization.
Indispensable skills for aspiring Data Scientists include proficiency in programming languages, statistical analysis, machine learning, data wrangling, and effective communication. Critical thinking, problem-solving, and domain-specific knowledge are crucial for success in this multifaceted field.
In Tunis, a Data Scientist typically starts as an entry-level analyst, advancing to Senior Data Scientist or Analytics Manager. Further progression may involve specialization in machine learning or transitioning to leadership roles within the data science domain.
The Data Science process involves iterative steps, including data collection, cleaning, exploration, modeling, validation, and interpretation. This cyclical approach allows for the extraction of insights, pattern discovery, and informed decision-making.
Data Science is applied practically in Tunis across various industries. In finance, it aids in risk analysis; healthcare utilizes predictive modeling; marketing employs customer segmentation, and technology develops algorithms. These applications optimize processes and inform decision-making.
In e-commerce, data science analyzes user behavior and historical data to power recommendation systems. These systems enhance customer experience by providing personalized product suggestions, driving engagement, and increasing sales.
The Certified Data Scientist Course is Tunis's top-rated program for aspiring data professionals. Covering programming, machine learning, and data analysis, it ensures participants acquire the skills essential for a successful career in data science, making it highly recommended in Tunis's educational landscape.
Yes, internships in data science hold significant value in Tunisia. They provide practical experience, exposure to real-world projects, and networking opportunities, enhancing employability in the competitive job market. Practical skills gained during internships are highly sought after by employers in Tunis.
Data science professionals in Tunis, experience promising career opportunities, boasting an average monthly salary of TND 3,300, according to Glassdoor. This reflects the favorable conditions in the field, indicating that data science is a financially rewarding profession in Tunis.
Yes, individuals with no prior experience can pursue data science training and secure jobs in Tunis. Building a robust skill set, completing projects, and networking can open doors in Tunisia's growing data science job market.
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.
To kickstart a data science career in Tunis, one should acquire relevant skills through online courses, build a portfolio of projects, and engage with local data science communities. Networking with professionals, considering internships, and staying updated on industry trends are crucial steps.
Yes, transitioning from a non-coding background to data science is feasible. Learning programming languages, gaining statistical and machine learning skills, and building a strong foundation through online courses and projects can facilitate a successful transition.
Industries actively seeking to hire Data Scientists in Tunis include finance for risk analysis, healthcare for predictive modeling, technology for algorithm development, and e-commerce for customer analytics. Emerging sectors like smart cities and renewable energy also demonstrate a growing demand for data science expertise.
Yes, participants in the Data Scientist Course offered by DataMites in Tunis will have the opportunity to work on live projects, including 10+ capstone projects and a client/live project for practical, hands-on learning experiences.
DataMites in Tunis stands out with its diverse offerings in data science certifications, covering 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 courses in Marketing, Operations, Finance, HR, and R. This range ensures that professionals at different levels and from various industries can find suitable programs to enhance their expertise in data science.
For those new to the field in Tunis, DataMites offers beginner-level data science training, including Certified Data Scientist, Data Science in Foundation, and Diploma in Data Science. These accessible courses equip beginners with essential skills and knowledge, providing a solid foundation for a career in data science.
Widely acclaimed, the DataMites Certified Data Scientist Course in Tunis is globally recognized as a top-tier, job-centric program in Data Science and Machine Learning. Its ongoing updates, attuned to industry needs, establish a structured learning process, promoting effective and efficient skill development.
DataMites addresses the learning needs of working professionals in Tunis with specialized data science courses. The 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, are tailored to provide targeted knowledge and skills for professionals seeking to augment their expertise in specific areas of data science.
DataMites data scientist courses in Tunis offer durations from 1 to 8 months, allowing learners to choose based on their preferred depth of study and expertise level. This flexibility ensures a tailored learning experience for individuals at various stages of their data science journey.
The Certified Data Scientist Training in Tunis is open to beginners and intermediate learners with no prerequisites, ensuring accessibility for individuals starting their journey in the field of data science.
DataMites' data science training in Tunis present a strategically organized fee structure, providing options from TND 1618 to TND 4045. This ensures accessibility for a variety of budgets and learning needs among aspiring data science professionals.
Certainly, DataMites offers Data Science Courses with internship in Tunis, allowing participants to engage with AI companies for practical learning experiences.
At DataMites, trainers are carefully selected based on their expertise and real-world experience. The data science training sessions are led by elite mentors and faculty members with hands-on exposure from leading companies and premier institutes like IIMs, guaranteeing a high-quality and industry-relevant learning experience.
When attending data science training sessions, participants must carry a valid photo identification proof, such as a national ID card or driver's license. This is imperative for obtaining a participation certificate and arranging any relevant certification exams.
Participants who miss a data science training session in Tunis at DataMites can access recorded sessions, receive study materials, and schedule makeup sessions.
Experience a complimentary demo class for our data science training in Tunis. This preview is designed to showcase our teaching approach, enabling you to evaluate content and teaching style before making any decisions about the training fee.
DataMites' "Data Science for Managers" course is designed for managers or leaders looking to integrate data science into decision-making, offering a strategic perspective on leveraging data for better decision outcomes.
Certainly, participants in Tunis can choose to attend help sessions, offering a valuable opportunity to improve their understanding of specific data science topics. These sessions are interactive, allowing participants to engage in discussions, seek clarification, and reinforce their knowledge. The availability of help sessions demonstrates a commitment to providing tailored support, ensuring participants in Tunis can navigate data science topics with confidence.
DataMites awards IABAC certifications upon successful completion of Data Science Training in Tunis, ensuring participants receive industry-recognized validation for their acquired skills.
Representing a paradigm shift in data science education, the Flexi-Pass offers a revolutionary method, giving learners the autonomy to craft their educational trajectory. This framework empowers students to personalize their curriculum, pick specific modules, and regulate their learning pace. Catering to various schedules and preferences, Flexi-Pass promotes a customized and proficient understanding of data science concepts.
Career mentoring sessions in the training follow a carefully designed structure. Participants experience one-on-one interactions with experienced mentors, addressing key elements like setting career goals, refining skills, and navigating the data science job landscape. The structured format guarantees that participants receive tailored advice and support, creating a supportive atmosphere for making informed decisions about their professional journeys.
Enrolling in online data science training in Tunis with DataMites provides the convenience of learning from any location, overcoming geographical limitations. The interactive online platform fosters engagement through discussions, forums, and collaborative activities, contributing to an enriched data science training experience.
DataMites facilitates data science course training through online data science training in Tunis and self-paced methods, providing participants with flexibility and control over their learning schedules.
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.