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 is a multidisciplinary field encompassing the extraction of meaningful insights from complex datasets. It combines expertise in statistics, machine learning, programming, and domain knowledge to uncover patterns, trends, and valuable information that can guide decision-making processes across various industries.
Eligibility for Data Science Certification Courses extends to individuals from diverse backgrounds, including professionals, graduates, or anyone keen on mastering data analysis and leveraging it for solving complex problems.
While there is no stringent educational prerequisite, a solid foundation in mathematics, statistics, or computer science can be advantageous for a prosperous career in Data Science. Individuals with varying academic backgrounds can transition successfully into the field.
Data Science operates through a systematic process involving data collection, cleaning, exploration, and application of statistical models or machine learning algorithms. This iterative process aims to derive actionable insights and predictions from raw data, enabling informed decision-making.
Essential skills for aspiring Data Scientists encompass proficiency in programming languages like Python or R, a deep understanding of statistical analysis, machine learning techniques, and the ability to communicate complex findings effectively to both technical and non-technical stakeholders.
Initiating a career in data science in Mauritius involves acquiring a strong educational foundation, gaining practical experience through hands-on projects, participating in relevant workshops, and networking with professionals in the field to stay abreast of industry trends.
The premier data science course in Mauritius is the Certified Data Scientist Training. This comprehensive program equips participants with essential skills in statistical analysis, machine learning, and data interpretation, ensuring a thorough understanding of the field and enhancing employability in data science roles.
A typical career trajectory for a Data Scientist in Mauritius involves starting with entry-level positions, progressing through mid-level roles, and potentially reaching senior or leadership positions with accumulated experience, expertise, and continuous learning.
Absolutely, data science internships in Mauritius play a pivotal role in shaping a budding professional's career. These internships offer practical exposure to real-world projects, an opportunity to apply theoretical knowledge, and the chance to build a network within the industry.
To stay current in Data Science, regularly engage in continuous learning through online courses, attend conferences, read research papers, and participate in relevant forums to keep abreast of evolving tools and techniques.
Data Science plays a pivotal role in the education sector by analyzing student performance data, personalizing learning experiences, and optimizing administrative processes, thereby enhancing educational outcomes and institutional efficiency.
The expected salary range for Data Scientists in Mauritius is approximately 76,700 MUR, as reported by Salary Explorer.
Transitioning to Data Science involves acquiring relevant skills through formal education, online data science courses in Mauritius, and hands-on projects, while networking and seeking mentorship can aid in navigating the field.
Challenges in AI ethics within Data Science include bias in algorithms, privacy concerns, and ethical decision-making, requiring a balance between innovation and responsible use of technology.
Effective preparation for a Data Science Interview entails reviewing core concepts, practicing problem-solving, and showcasing real-world project experiences to demonstrate practical skills and domain knowledge.
Common misconceptions about Data Science include the belief that it solely involves programming and that it can provide infallible predictions without uncertainties.
The choice between R and Python depends on project requirements, with Python being more versatile for general-purpose tasks and R excelling in statistical analysis and visualization.
In the gaming industry, Data Science enhances user experiences by analyzing player behavior, optimizing in-game features, and predicting trends for better game development and marketing strategies.
Manage missing data in Data Science projects by evaluating its impact. Resolve the issue through imputation using statistical methods, predictive modeling, or advanced techniques like multiple imputation. Tailor the strategy to the data's nature and project goals, ensuring the integrity of the analysis and enhancing result reliability.
Data Science focuses on extracting insights from data, while Data Engineering involves designing, constructing, and maintaining the systems that facilitate data processing and analysis.
The DataMites Certified Data Scientist Course in Mauritius is renowned as the world's leading program in Data Science and Machine Learning. It's not only comprehensive and job-oriented but also regularly updated to meet industry demands, ensuring its relevance. The course follows a structured learning process, facilitating efficient and focused learning for participants.
Newcomers to the field have access to beginner-level data science training options in Mauritius, such as the Certified Data Scientist, Data Science in Foundation, and Diploma in Data Science courses.
DataMites offers a range of Data Science Certifications in Mauritius, including Diploma in Data Science, Certified Data Scientist, Data Science for Managers, Data Science Associate, Statistics for Data Science, Python for Data Science, and specialized courses in Operations, Marketing, HR, Finance, and more.
The duration of DataMites' data scientist course in Mauritius varies between 1 month and 8 months, depending on the specific course level.
No prerequisites are necessary for enrolling in the Certified Data Scientist Training in Mauritius, making it suitable for beginners and intermediate learners in the field of data science.
Engaging in online data science training with DataMites in Mauritius provides the flexibility to learn from any location, enabling participants to receive quality education without being limited by geographical boundaries. The interactive online platform encourages engagement through discussions, forums, and collaborative activities, enhancing the overall data science training experience.
Certainly, DataMites in Mauritius offers specialized courses for working professionals looking to augment their knowledge, including Statistics for Data Science, Data Science with R Programming, Python for Data Science, Data Science Associate, and specialized certifications in Operations, Marketing, HR, and Finance.
The fee structure for DataMites' data science training programs in Mauritius ranges from MUR 23,665 to MUR 59,171. This pricing model provides participants with flexible options, ensuring accessibility to quality education and skill enhancement in the field of data science.
Certainly, participants are required to present valid photo identification proof, like a national ID card or driver's license, when collecting their participation certificate or scheduling the certification exam, if needed.
DataMites offers recorded sessions and additional materials for participants who are unable to attend a data science training session in Mauritius, allowing them to catch up at their convenience.
DataMites' data science training sessions are led by expert mentors and faculty members with hands-on experience from leading companies, including esteemed institutions such as IIMs.
Certainly, in Mauritius, DataMites provides a chance for a demo class before participants commit to the data science training fee, enabling them to familiarize themselves with the course structure and content.
DataMites' "Data Science for Managers" course is meticulously crafted for managers and leaders, providing them with specialized skills to seamlessly integrate data science into decision-making processes and promote informed and strategic choices.
Certainly, participants in Mauritius can choose to participate in help sessions, providing a valuable chance to delve deeper into specific data science topics. This ensures a thorough understanding and addresses individual queries, fostering comprehensive learning.
DataMites in Mauritius offers data science courses inclusive of internship opportunities, providing participants with the chance to acquire practical experience and enhance their skills in real-world situations.
Certainly, in Mauritius, DataMites provides a Data Scientist Course featuring hands-on experience through 10+ capstone projects and a dedicated client/live project. This practical exposure enriches participants' skills, offering real-world application and industry-relevant experience.
The Flexi-Pass at DataMites grants participants flexibility in catching up on missed sessions, providing access to recorded sessions and supplementary materials. This feature ensures a customized learning experience that aligns with individual schedules.
The career mentoring sessions at DataMites adopt an interactive format, offering personalized guidance on resume building, interview preparation, and career strategies. These sessions provide valuable insights and strategies to enrich participants' professional journey in the realm of data science.
DataMites in Mauritius offers training for data science courses through Online Data Science Training in Mauritius and Self-Paced Training methods.
Upon finishing DataMites' Data Science Training in Mauritius, participants earn the esteemed IABAC Certification, a globally recognized acknowledgment of their proficiency in data science concepts and practical applications. This certification serves as a valuable credential, affirming their expertise and bolstering their credibility in the data science field.
Certainly, DataMites provides a Certificate of Completion for the Data Science Course. Upon course fulfillment, participants can request the certificate through the online portal, validating their expertise in data science and bolstering their credibility in the job market.
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.