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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
Data Science involves extracting insights from data through statistical analysis, machine learning, and domain expertise. It employs a multidisciplinary approach to analyze and interpret complex information, aiding decision-making across various sectors.
Data Scientists in Fiji can anticipate an attractive annual salary, with Salary Explorer reporting an average of 51,600 FJD. This figure reflects the competitive compensation offered to data professionals in recognition of their valuable skills and expertise in Fiji's job market.
Python, R, and SQL are widely utilized in Data Science. Python's versatility and extensive libraries make it a preferred choice for data manipulation, analysis, and machine learning tasks.
To embark on a Data Science Career in Fiji, 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.
Data Science is applied across industries, contributing to decision-making through predictive analytics, pattern recognition, and trend analysis. Its pivotal role extends to finance, healthcare, marketing, and technology, shaping strategies and fostering innovation.
While not mandatory, a high proficiency in Python significantly benefits 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.
Certification courses in Data Science are open to individuals with backgrounds in math, statistics, computer science, or related fields. Some courses may require basic programming knowledge and familiarity with statistics as prerequisites.
Critical skills for effective Data Scientists encompass proficiency in programming languages, statistical analysis, machine learning, data wrangling, and effective communication. These skills empower individuals to extract valuable insights and contribute to strategic decision-making processes.
In Fiji, a Data Scientist typically starts 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, expertise acquisition, and strategic contributions to organizations' data-driven initiatives.
The go-to choice is the Certified Data Scientist Course in Fiji, offering comprehensive coverage of Python, machine learning, and data analysis. It ensures a well-rounded understanding of Data Science, with industry recognition and a practical focus, making it a preferred option for individuals aiming to excel in Fiji's data-driven landscape.
Data Science internships in Fiji significantly contribute to professional growth by providing hands-on experience, exposure to real-world projects, and networking opportunities. They enhance practical skills, deepen industry understanding, and overall boost employability.
A successful Data Science Career 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.
The typical Data Science project lifecycle involves defining objectives, data collection, preprocessing, exploratory data analysis, model development, validation, deployment, and continuous monitoring. This iterative process underscores collaboration, adaptability, and the delivery of actionable insights.
In Fiji, a Data Scientist within a business is tasked with 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 key aspects of their roles, contributing to informed decision-making.
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 decision-making, optimizing processes and fostering innovation.
Data Science plays a pivotal role in Fiji's cybersecurity by employing machine learning algorithms for threat detection, anomaly analysis, and pattern recognition. It fortifies defense mechanisms, aids in predicting cyber threats, and ensures the security of digital infrastructure.
Data Science augments 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.
Typical challenges in data science projects involve data quality issues and complex model interpretability. Robust preprocessing, collaboration with domain experts, and the use of explainable AI techniques are strategies to overcome these challenges, ensuring project success.
In the financial sector, Data Science plays a critical role in risk assessment, fraud detection, and predicting market trends. It aids decision-making by offering insights into investment strategies, optimizing resource allocation, and ensuring overall financial stability.
In e-commerce, Data Science revolutionizes recommendation systems by analyzing user behavior and preferences. Leveraging machine learning algorithms, it predicts and personalizes recommendations, enhancing user experience, boosting engagement, and driving sales.
For newcomers in Fiji, foundational training is offered through courses like Certified Data Scientist, Data Science in Foundation, and Diploma in Data Science. These beginner-level courses provide a comprehensive introduction, ensuring participants develop a strong understanding of core principles and applications in Data Science.
Trainers at DataMites undergo a rigorous selection process, ensuring they are elite mentors and faculty members with real-time experience from leading companies and prestigious institutes like IIMs. This meticulous selection ensures participants receive training from seasoned professionals, enhancing their data science learning journey.
DataMites offers a range of Data Science Certifications in Fiji, 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 crafted to meet specific industry needs, ensuring a well-rounded education in Data Science.
The duration of DataMites' Data Scientist Courses in Fiji is customizable, ranging from 1 to 8 months. This tailored approach allows participants to select a timeframe that suits their individual learning preferences and availability.
The Certified Data Scientist Training in Fiji is open to all, with no prerequisites. Tailored for beginners and intermediate learners in Data Science, the course ensures inclusivity, enabling individuals from diverse backgrounds to participate and develop foundational skills.
DataMites' Certified Data Scientist Course in Fiji is globally recognized as a comprehensive, job-oriented program in Data Science and Machine Learning. Regular updates ensure alignment with industry standards, and its structured learning approach facilitates efficient knowledge absorption.
The fee structure for DataMites' data science training programs in Fiji ranges from FJD 1170 to FJD 2927. This diverse pricing allows participants to choose an option that aligns with their preferences and budget, ensuring accessibility to high-quality data science training in Suva.
Choosing DataMites' online data science training in Fiji provides the flexibility to learn from any location, breaking geographical barriers. The interactive online environment fosters engagement through discussions, forums, and collaborative activities, enhancing the overall Data Science training experience.
To facilitate the issuance of participation certificates and schedule 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 in Fiji offers an informative trial class option, allowing participants to explore the course content and teaching methodology before making a commitment.
DataMites' Data Science Training in Fiji incorporates internship opportunities with AI companies, providing participants with valuable practical exposure. This hands-on experience enhances theoretical learning, ensuring a comprehensive understanding of data science concepts.
DataMites caters to professionals with specialized courses like Statistics for Data Science, Data Science with R Programming, Python for Data Science, Certified Data Scientist Operations, and Certified Data Scientist Marketing. These programs offer an enhanced learning experience, equipping professionals with targeted knowledge and skills in the dynamic field of Data Science.
Participants who miss a data science training session in Fiji have access to make-up sessions, ensuring they can catch up on missed content and stay aligned with the course curriculum.
DataMites' Data Scientist course in Fiji integrates practical exposure through live projects. With over 10 capstone projects and involvement in one client or live project, participants gain hands-on experience, refining their skills in real-world data science applications.
DataMites formally acknowledges participants' completion of the Data Science Training in Fiji by issuing a certificate, serving as proof of their acquired skills.
Career mentoring sessions within DataMites' data science training are tailored to provide personalized guidance, industry perspectives, and strategic career planning. This format ensures individualized support for participants' professional growth.
DataMites facilitates deeper knowledge acquisition with help sessions for participants in Fiji, offering additional support for better comprehension of specific data science topics.
The Data Science Flexi-Pass at DataMites provides an adaptable training schedule, allowing participants to learn at their own pace. This flexibility caters to diverse schedules and learning preferences.
DataMites in Fiji provides tailored learning experiences through online data science training in Fiji 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 Fiji 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.
DataMites' "Data Science for Managers" course is designed specifically for leaders looking 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.
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.