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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
As per Glassdoor, Data Scientists in Lisbon earn an annual average salary of €35,449. This figure reflects the competitive compensation offered to professionals in recognition of their valuable skills and expertise in the field of Data Science.
Initiating a career in Data Science in Lisbon involves pursuing relevant education in mathematics or computer science, gaining proficiency in languages like Python or R, engaging in real-world projects, and considering certifications. Networking with professionals and seeking internships can hasten career entry.
Commonly used in Data Science, Python, R, and SQL are prominent. Python's versatility and extensive libraries make it a preferred choice for tasks like data manipulation, analysis, and machine learning.
Data Science finds application 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.
Key skills for an effective Data Scientist encompass proficiency in programming languages, statistical analysis, machine learning, data wrangling, and effective communication. These skills empower individuals to extract valuable insights and play a vital role in contributing to strategic decision-making.
Data Science encompasses the extraction of insights from data through statistical analysis, machine learning, and domain expertise. It adopts a multidisciplinary approach to analyze and interpret complex information, supporting decision-making across various sectors.
While not mandatory, a high proficiency in Python is highly advantageous for entering the Data Science field. Python's versatility, readability, and extensive libraries make it a valuable tool for tasks such as data manipulation, analysis, and machine learning.
A successful career in Data Science benefits from a background in mathematics, statistics, computer science, or a related field. While advanced degrees enhance competitiveness, practical experience, continuous learning, and staying abreast of emerging technologies are equally crucial.
In Lisbon, a Data Scientist typically begins 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 continuous learning, gaining expertise, and contributing strategically to organizations' data-driven initiatives.
The Certified Data Scientist Course is a top choice in Lisbon, providing comprehensive coverage of Python, machine learning, and data analysis. It ensures a thorough understanding of Data Science, with industry recognition and practical focus, making it the preferred option for excelling in Lisbon's data-driven landscape.
Data Science internships in Lisbon significantly enhance professional growth through hands-on experience, exposure to real projects, and valuable networking opportunities. They contribute to skill development, industry insights, and overall employability.
The data science project lifecycle involves defining objectives, data collection, preprocessing, exploratory data analysis, model development, validation, deployment, and continuous monitoring. This iterative process emphasizes collaboration, adaptability, and delivering actionable insights.
Certification courses in Data Science are open to individuals with backgrounds in math, statistics, computer science, or related fields. Some courses may have prerequisites like basic programming knowledge and familiarity with statistics.
In Lisbon, Data Science plays a crucial role in cybersecurity, utilizing machine learning algorithms for threat detection, anomaly analysis, and pattern recognition. It strengthens defense mechanisms, predicts cyber threats, and ensures the security of digital infrastructure.
Data Science significantly contributes to decision-making by extracting valuable insights from data across diverse industries. Through predictive analytics and pattern recognition, it enables informed and strategic decision-making, optimizing processes, and fostering innovation.
Data Science is integral to the financial sector, playing a key role in risk assessment, fraud detection, and market trend prediction. It facilitates decision-making by providing valuable insights into investment strategies, optimizing resource allocation, and ensuring overall financial stability.
Data Science elevates business intelligence by providing advanced analytics beyond descriptive reporting. By incorporating predictive and prescriptive analytics, it offers 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. Employing machine learning algorithms, it predicts and tailors recommendations, ultimately enhancing user experience, driving engagement, and boosting sales.
Common challenges in Data Science Projects include issues with data quality and complex model interpretability. Addressing these challenges involves implementing robust preprocessing techniques, collaborating with domain experts, and integrating explainable AI strategies to ensure project success.
A Data Scientist in a Lisbon 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 updated on industry trends are integral aspects of their roles, contributing to informed decision-making.
DataMites' Certified Data Scientist Course in Lisbon 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 facilitates efficient knowledge absorption.
The fee structure for DataMites' data science training in Lisbon ranges from EUR 483 to EUR 1210. This affordable range accommodates diverse preferences and budget considerations, ensuring accessibility to comprehensive data science training with varying pricing options in Lisbon.
For those new to Data Science in Lisbon, DataMites offers foundational training through courses such as Certified Data Scientist, Data Science in Foundation, and Diploma in Data Science. These entry-level programs provide a thorough introduction to core principles and applications in Data Science.
Discover a range of Data Science Certifications in Lisbon 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.
The duration of DataMites' Data Scientist Courses in Lisbon is flexible, spanning from 1 to 8 months. This customization allows participants to select a timeframe that aligns with their learning preferences and availability.
The Certified Data Scientist Training in Lisbon welcomes participants without any prerequisites. Tailored for beginners and intermediate learners in Data Science, the course ensures inclusivity, allowing individuals from diverse backgrounds to participate and build foundational skills.
Trainers at DataMites undergo a meticulous selection process, ensuring they are elite mentors and faculty members with real-time 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 Lisbon provides the convenience of learning from any location, transcending geographical boundaries. The interactive online environment encourages engagement, incorporating discussions, forums, and collaborative activities to enhance 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 Lisbon, providing participants with an opportunity to explore the course before committing to the data science training fee. This allows individuals to evaluate the course structure and teaching methodology.
DataMites caters to 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.
DataMites' Data Science Training in Lisbon encompasses an internship with AI companies, delivering valuable practical exposure to participants. This hands-on experience complements theoretical learning, ensuring a thorough understanding of data science concepts.
DataMites' "Data Science for Managers" course empowers leaders to integrate data science into decision-making processes. Tailored for managers, this course equips them with insights and tools to lead data-driven initiatives and make informed strategic decisions within their organizations.
DataMites' Data Scientist Course in Lisbon 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.
DataMites formally recognizes participants' accomplishment in completing the Data Science Training Courses in Lisbon by providing a certificate. This document serves as proof of their acquired skills.
DataMites facilitates deeper knowledge acquisition with help sessions for participants in Lisbon, 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 provides tailored learning experiences through online data science training in Lisbon 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.
Participants who miss a data science training courses in Lisbon can catch up through make-up sessions. This provision ensures that learners stay on track with the course curriculum.
Career mentoring sessions within DataMites' data science courses training in Lisbon are tailored to provide personalized guidance, industry perspectives, and strategic career planning. This format ensures individualized support for participants' professional growth.
Completing DataMites' Data Science Training in Lisbon 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.
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.