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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
To embark on a Data Science career in Portugal, individuals should pursue relevant education in mathematics or computer science, gain proficiency in languages like Python or R, engage in real-world projects, and consider obtaining certifications. Networking with professionals and seeking internships can expedite career entry.
In Portugal, Data Scientists can anticipate an impressive average salary of 51,300 EUR, as reported by Salary Explorer. This figure reflects the competitive compensation offered in recognition of the valuable skills and expertise these professionals bring to the field of Data Science.
Widely utilized in Data Science, Python, R, and SQL stand out. Python's versatility and extensive libraries make it a preferred choice for data manipulation, analysis, and machine learning tasks.
Data Science finds applications across various industries, contributing to decision-making through predictive analytics, pattern recognition, and trend analysis. Its pivotal role extends to finance, healthcare, marketing, and technology.
Critical skills for effective Data Scientists encompass mastery in programming languages, statistical analysis, machine learning, data wrangling, and effective communication. These capabilities empower individuals to extract valuable insights and contribute to strategic decision-making processes.
While not mandatory, possessing a high proficiency in Python is immensely advantageous for entering the Data Science field. Python's versatility, readability, and extensive libraries make it a valuable tool for tasks like data manipulation, analysis, and machine learning.
Data Science involves extracting insights from data through statistical analysis, machine learning, and domain expertise. It embraces a multidisciplinary approach to analyze and interpret complex information, supporting decision-making across various sectors.
A prosperous career in Data Science benefits from a foundation in mathematics, statistics, computer science, or related fields. While advanced degrees enhance competitiveness, practical experience, continuous learning, and staying abreast of emerging technologies are equally crucial.
In Portugal, a Data Scientist typically commences as an entry-level analyst, progresses to roles like Data Engineer or Machine Learning Engineer, and with experience, may attain positions such as Lead Data Scientist or Chief Data Officer. This trajectory involves ongoing learning, skill development, and strategic contributions to organizations' data-driven initiatives.
The Certified Data Scientist Course holds a prominent position in Portugal. With comprehensive coverage of Python, machine learning, and data analysis, it ensures a well-rounded understanding of Data Science. Recognized by the industry and emphasizing practical skills, it is a top choice for those aiming to excel in Portugal's data-driven landscape.
Data Science internships in Portugal significantly enhance professional growth by providing hands-on experience, exposure to real-world projects, and networking opportunities. They contribute to the development of practical skills, industry insights, and overall employability.
Certification courses in Data Science are accessible to individuals with backgrounds in math, statistics, computer science, or related fields. Basic programming knowledge and familiarity with statistics may be prerequisites for certain courses.
The typical data science project lifecycle involves defining objectives, collecting and preprocessing data, conducting exploratory data analysis, developing models, validation, deployment, and continuous monitoring. This iterative process underscores collaboration, adaptability, and delivering actionable insights.
In Portugal, Data Science plays a crucial role in cybersecurity by utilizing machine learning algorithms for threat detection, anomaly analysis, and pattern recognition. It strengthens defense mechanisms, predicts cyber threats, and ensures the overall security of digital infrastructure.
In the financial sector, Data Science is instrumental in risk assessment, fraud detection, and predicting market trends. It contributes to decision-making by providing insights into investment strategies, optimizing resource allocation, and ensuring overall financial stability.
Data Science plays a pivotal role in decision-making across industries by extracting insights from data. Through predictive analytics and pattern recognition, it facilitates informed and strategic choices, optimizing processes and fostering innovation.
Data Science elevates business intelligence by offering advanced analytics that go beyond descriptive reporting. Incorporating predictive and prescriptive analytics, it provides a forward-looking perspective, empowering businesses to make data-driven decisions for sustained growth.
In e-commerce, Data Science revolutionizes recommendation systems by analyzing user behavior and preferences. Machine learning algorithms predict and personalize recommendations, enhancing user experience, increasing engagement, and ultimately driving sales.
Data Science projects often encounter challenges like data quality issues and complex model interpretability. Robust preprocessing, collaboration with domain experts, and the utilization of explainable AI techniques are strategies to address these challenges and ensure project success.
A Data Scientist in business is responsible for collecting, cleaning, and analyzing data to extract valuable insights. They develop and implement machine learning models, interpret results, and communicate findings to stakeholders. Collaborating with teams, refining algorithms, and staying abreast of industry trends are integral aspects of their roles, contributing to informed decision-making.
Explore a range of Data Science Certifications in Portugal by DataMites, including Certified Data Scientist, Data Science for Managers, Data Science Associate, Diploma in Data Science, Statistics for Data Science, and Python for Data Science. Each certification is tailored to meet specific industry needs, ensuring a comprehensive education in Data Science.
DataMites' Data Science Training in Portugal includes an internship with AI companies, offering participants valuable practical exposure. This hands-on experience complements theoretical learning, ensuring a comprehensive understanding of data science concepts.
DataMites caters to Portugalian professionals with specialized Data Science courses, including Statistics for Data Science, Data Science with R Programming, Python for Data Science, Certified Data Scientist Operations, and Certified Data Scientist Marketing. These programs enhance professionals' skills in the dynamic field of Data Science.
The duration of DataMites' Data Scientist Courses in Portugal is flexible, ranging from 1 to 8 months. This customization allows participants to choose a timeframe that aligns with their learning preferences and availability.
The Certified Data Scientist Training in Portugal is open to all with no prerequisites. Tailored for beginners and intermediate learners in Data Science, the course provides an inclusive learning opportunity, accommodating individuals from diverse backgrounds to build foundational skills.
The fee structure for DataMites' data science training in Portugal varies from EUR 483 to EUR 1210. This flexible pricing caters to different budget constraints, ensuring accessibility to comprehensive and quality data science training programs in Portugal. Participants can choose an option that suits their financial preferences and learning needs.
Trainers at DataMites undergo a rigorous selection process, ensuring they are elite mentors and faculty members with real-world experience from leading companies and prestigious institutes like IIMs. This careful selection guarantees participants receive training from seasoned professionals, enriching their data science learning journey.
Opting for DataMites' online data science training in Portugal offers the flexibility to learn from any location, overcoming geographical constraints. The interactive online platform fosters engagement through discussions, forums, and collaborative activities, enhancing the overall Data Science training experience.
To facilitate the issuance of participation certificates and scheduling certification exams, participants attending data science training sessions must bring a valid photo identification proof, such as a national ID card or driver's license.
DataMites offers a comprehensive demo class option in Portugal, allowing participants to explore the course before committing to the data science training fee. This enables individuals to assess the course structure and teaching methodology.
DataMites' Certified Data Scientist Course in Portugal is globally recognized as a comprehensive, job-oriented program in Data Science and Machine Learning. Regular updates ensure its alignment with industry standards, and its structured learning approach ensures efficient knowledge absorption.
Participants who miss a data science training session in Portugal have catch-up opportunities through make-up sessions. This provision ensures that learners can stay on track with the course curriculum.
DataMites' "Data Science for Managers" course empowers leaders to integrate data science into decision-making processes. Tailored for managers, this course equips them with the insights and tools needed to lead data-driven initiatives and make informed strategic decisions within their organizations.
For those new to Data Science in Portugal, DataMites offers foundational training through courses like Certified Data Scientist, Data Science in Foundation, and Diploma in Data Science. These beginner-level programs provide a thorough introduction to core principles and applications in Data Science.
DataMites formally acknowledges participants' completion of the Data Science Training in Portugal by issuing a certificate. This document serves as proof of their acquired skills.
DataMites facilitates deeper knowledge acquisition with help sessions for participants in Portugal, offering additional support for a better understanding of specific data science topics.
The Data Science Flexi-Pass at DataMites offers an adaptable training schedule, allowing participants to learn at their own pace. This flexibility caters to diverse schedules and learning preferences.
DataMites in Portugal provides tailored learning experiences through online data science training in Portugal and self-paced training for Data Science courses. Participants can choose the mode that aligns with their learning preferences, ensuring a personalized and effective training journey.
Completing DataMites' Data Science Training in Portugal earns participants an IABAC Certification. This esteemed certification, granted by the International Association of Business Analytics Certifications (IABAC), validates the proficiency gained in data science, strengthening participants' standing in the industry.
Career mentoring sessions within DataMites' data science training in Portugal are tailored to provide personalized guidance, industry perspectives, and strategic career planning. This format ensures individualized support for participants' professional growth.
DataMites' Data Scientist Course in Portugal provides practical exposure through live projects. With over 10 capstone projects and involvement in one client or live project, participants gain hands-on experience, enhancing their skills in real-world data science applications.
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.