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 through scientific methods, algorithms, and systems. It's a multidisciplinary field, utilizing statistical analysis, programming, and domain expertise to interpret complex datasets and drive informed decision-making.
Data Science finds applications across industries like finance for risk assessment, healthcare for predictive modeling, marketing for targeted campaigns, and technology for algorithm development. It revolutionizes processes, enhances efficiency, and fosters innovation in diverse sectors.
Absolutely, transitioning from a non-coding background to data science is feasible. Learning programming languages, mastering statistical concepts, and engaging in practical projects enable a successful shift.
Data Science Certification Courses in Tunisia welcome students, professionals seeking analytical skills, or anyone passionate about data exploration. The courses cater to diverse backgrounds, providing essential skills in statistical analysis, programming, and machine learning.
While degrees in data science, computer science, or related fields are beneficial, practical skills are paramount. Successful data scientists often possess degrees in mathematics, statistics, engineering, or showcase proficiency through hands-on projects.
Key tools for data scientists include Python and R for programming, SAS or SPSS for statistics, and TensorFlow and scikit-learn for machine learning. Visualization tools like Tableau and Jupyter environments are vital for effective data analysis and communication.
Python, known for versatility and extensive libraries, is widely adopted in data science. R is favored for its statistical analysis and visualization capabilities. Data scientists often leverage a combination of these languages based on project requirements.
Beginner-friendly projects include predicting housing prices, sentiment analysis on social media, or developing a basic recommendation system. These hands-on endeavors teach fundamental skills in data manipulation, visualization, and machine learning, fostering a solid foundation for aspiring data scientists.
The Data Science process involves data collection, cleaning, exploration, modeling, validation, and interpretation. This iterative cycle allows for the discovery of patterns, trends, and insights, ultimately aiding in informed decision-making and problem-solving.
Fundamental skills for aspiring Data Scientists include proficiency in programming (Python, R), statistical analysis, machine learning, data wrangling, and effective communication. Critical thinking, problem-solving, and domain-specific knowledge are essential for success in this multidisciplinary field.
In Tunisia, a Data Scientist typically begins as an entry-level analyst, progressing to roles like Senior Data Scientist or Analytics Manager. Career growth may involve specialization in areas such as machine learning or transitioning to leadership positions.
Data Science is implemented practically across industries in Tunisia. In finance, it aids in risk assessment; healthcare uses predictive modeling; marketing employs customer segmentation, and technology develops algorithms. These applications optimize processes, inform decision-making, and drive innovation.
Initiating a data science career in Tunisia involves acquiring relevant skills through courses, building a portfolio with projects, and networking with professionals. Joining local data science communities and considering internships can provide exposure and enhance employability.
Data Science in Tunisia's manufacturing and supply chain involves predicting demand, optimizing inventory, and improving logistics. Predictive maintenance, quality control, and real-time analytics contribute to increased efficiency and cost-effectiveness in these crucial sectors.
Yes, data science internships in Tunisia are valuable. They provide practical experience, exposure to real-world projects, and networking opportunities, enhancing employability and giving candidates a competitive edge in the job market.
Data science professionals in Tunisia, particularly in Tunis, benefit from promising career opportunities, showcasing an average monthly salary of TND 3,300, according to Glassdoor. This indicates the rewarding nature of the field in the region, reflecting the demand for skilled individuals adept in data science.
Yes, individuals with no experience can pursue a data science course and secure a job in Tunisia. Building a strong skill set, completing projects, and networking can open doors in Tunisia's growing data science job market.
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.
Industries actively seeking professionals with data science skills in Tunisia 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.
Aspiring data scientists in Tunisia should consider the Certified Data Scientist Course, a top-rated program. It delves into programming, machine learning, and data analysis, offering comprehensive training and positioning participants for success in the competitive data science landscape of Tunisia.
DataMites facilitates the entry of beginners into the field of data science in Tunisia through accessible training options like Certified Data Scientist, Data Science in Foundation, and Diploma in Data Science. These courses provide foundational knowledge and practical skills, making them ideal for individuals new to the field.
Opting for online data science training in Tunisia with DataMites offers the advantage of learning from anywhere, without geographical constraints. The interactive online platform facilitates engagement through discussions, forums, and collaborative activities, enhancing the overall quality of the data science training experience.
The DataMites Certified Data Scientist Course in Tunisia is celebrated as the world's leading, job-oriented program in Data Science and Machine Learning. With frequent updates matching industry requirements, the course provides a well-structured learning journey for optimal knowledge absorption.
In Tunisia, DataMites delivers an extensive portfolio of data science certifications, including 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 in Marketing, Operations, Finance, HR, and R. These certifications cater to a diverse audience with varying skill sets and professional interests.
In Tunisia, DataMites understands the needs of working professionals and offers specialized data science courses. These include 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. These courses are designed to empower professionals with focused and applicable skills in the dynamic field of data science.
Yes, DataMites provides Data Science Courses with internship opportunities in Tunisia, giving participants valuable experience with AI companies.
In Tunisia, DataMites provides data scientist courses with durations ranging from 1 to 8 months. The varying durations cater to different learning levels and preferences, ensuring flexibility for participants.
No prerequisites are needed for the Certified Data Scientist Training in Tunisia, making it an ideal choice for beginners and intermediate learners in the field of data science.
DataMites' data science training in Tunisia feature a well-organized fee structure, ranging from TND 1618 to TND 4045. This allows participants to select a program that suits their budget while ensuring access to quality data science education.
DataMites ensures trainers are chosen for their expertise and practical knowledge. The data science training sessions in Tunisia are conducted by elite mentors and faculty members with real-time experience from leading companies and prestigious institutions like IIMs, providing participants with a rich and applicable learning experience.
Yes, participants in Tunisia have the option to attend help sessions, designed to enhance their understanding of specific data science topics. These sessions facilitate interactive discussions, allowing participants to seek clarification and deepen their knowledge. The availability of help sessions reflects a commitment to providing comprehensive support, ensuring a thorough understanding of data science concepts.
Join our data science courses training in Tunisia for a complimentary demo class. Gain insights into our teaching methods, assess the content, and experience the teaching style firsthand. This trial empowers you to make an informed decision about enrolling without any financial commitment.
"Data Science for Managers" by DataMites is the optimal course for managers or leaders aiming to integrate data science into decision-making processes, providing essential knowledge for strategic decision enhancements.
Access to session recordings is provided for participants who are unable to attend a data science session in Tunisia. This feature enables you to go through the material at your convenience, ensuring you remain informed even if you miss the live session. Dedicated Q&A sessions are also conducted for participants who couldn't make it.
DataMites in Tunisia ensures a comprehensive learning experience with its Data Scientist Course, including 10+ capstone projects and a client/live project for practical application of skills in real-world scenarios.
The Flexi-Pass redefines data science program in Tunisia by introducing a groundbreaking approach, providing learners with the empowerment to mold their educational journey. This model allows students to tailor their curriculum, choose specific modules, and govern their learning pace. Adapting to diverse schedules and preferences, Flexi-Pass ensures an individualized and efficient mastery of data science concepts.
For data science training sessions, participants need to bring a valid photo identification proof, like a national ID card or driver's license. This is a prerequisite for receiving a participation certificate and coordinating any necessary certification exams.
Within the training, career mentoring sessions are meticulously structured. Participants engage in one-on-one sessions with seasoned mentors, covering essential aspects such as defining career goals, honing specific skills, and navigating the data science job market. This structured format ensures that participants receive personalized guidance, fostering an environment conducive to making well-informed decisions about their career trajectories.
The data science courses at DataMites provide training through online data science training in Tunisia and self-paced methods, allowing participants to learn at their own pace and convenience.
Participants completing Data Science Training in Tunisia with DataMites receive IABAC certifications, demonstrating their competence in data science and gaining industry acknowledgment.
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.