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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 is the field of extracting meaningful insights from large datasets using statistical methods, algorithms, and machine learning techniques. It involves analyzing, interpreting, and presenting data to make informed decisions and predictions.
Data Science works by collecting, cleaning, and analyzing data to uncover patterns, trends, and insights. It employs various tools and techniques such as statistical models, machine learning algorithms, and data visualization to derive actionable information.
Individuals with a background in mathematics, statistics, computer science, or related fields are eligible for Data Science certification courses. However, passion for data analysis and problem-solving is equally important.
A career in Data Science typically requires a degree in computer science, statistics, mathematics, or a related field. However, practical experience and skills in programming, data manipulation, and analysis are equally crucial.
Essential skills for a Data Scientist include proficiency in programming languages (e.g., Python, R), data analysis, machine learning, statistical modeling, and strong communication skills. Problem-solving, critical thinking, and domain knowledge are also valuable.
In Port Louis, a Data Scientist can start as an entry-level analyst, progress to a senior analyst or machine learning engineer, and eventually take on roles such as Data Science Manager or Chief Data Officer. Continuous learning and staying updated with industry trends are key to career growth.
To start a career in Data Science in Port Louis, acquire a solid educational background, develop relevant skills through courses and projects, build a strong portfolio, and seek internships or entry-level positions. Networking and staying engaged with the local data science community can also open up opportunities.
The leading data science course in Port Louis is the Certified Data Scientist program. This comprehensive course provides participants with vital skills in statistical analysis, machine learning, and data interpretation, ensuring a comprehensive grasp of the field and improving opportunities for employment in various data science roles.
Yes, data science internships in Port Louis provide practical experience, exposure to real-world projects, and networking opportunities. They enhance skills, build a professional network, and increase employability in the competitive field of Data Science.
In the gaming industry, Data Science is employed for player behavior analysis, personalized gaming experiences, fraud detection, and game optimization through data-driven decision-making.
In Port Louis, individuals in the field of data science can expect competitive salaries. According to Salary Explorer, a Data Scientist typically earns around 76,700 MUR, reflecting the lucrative compensation associated with pursuing a career in data science in this region.
Data Science in education involves enhancing decision-making processes, personalized learning experiences, and predicting student performance. It aids in optimizing administrative operations, facilitating adaptive learning platforms, and leveraging data for educational research.
To stay current in Data Science, engage in continuous learning through online courses, attend conferences, join forums, and follow reputable blogs. Regularly practice with real-world projects to apply new knowledge and stay updated on emerging technologies.
Transitioning to Data Science involves acquiring relevant education, gaining hands-on experience through projects, networking with professionals, and showcasing a strong portfolio to demonstrate skills to potential employers.
Common misconceptions about Data Science include seeing it solely as programming, focusing only on big data, and assuming it's a one-size-fits-all solution. Understanding its interdisciplinary nature is crucial.
Integrating AI ethics into Data Science faces challenges like bias in algorithms, privacy concerns, and the need for transparent decision-making processes. Addressing these issues requires ethical guidelines and ongoing scrutiny.
Effective preparation for a Data Science Interview involves mastering technical skills, understanding the business context, practicing problem-solving, and being able to communicate findings clearly.
Python is generally preferred over R in Data Science due to its versatility, extensive libraries, and wider industry adoption.
Assess the impact and handle it by imputing missing values using statistical methods, predictive modeling, or advanced techniques like multiple imputation. Adapt the strategy based on data characteristics and project objectives to maintain analysis integrity and improve result reliability.
Data Science focuses on extracting insights from data using statistical and machine learning techniques, while Data Engineering involves the design and construction of systems for data generation, transformation, and storage.
The Certified Data Scientist Course by DataMites in Port Louis is recognized as the global leader in Data Science and Machine Learning education. Renowned for its popularity, comprehensiveness, and job-centric approach, this program is continuously updated to stay in sync with industry demands. It offers a meticulously crafted curriculum, ensuring participants experience a well-organized learning journey for optimal efficiency and focus.
Individuals new to the field can explore entry-level data science training choices in Port Louis, including courses like Certified Data Scientist, Data Science in Foundation, and Diploma in Data Science.
DataMites in Port Louis provides tailored courses for professionals seeking to enhance their expertise, encompassing offerings like 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.
DataMites provides diverse Data Science certifications in Port Louis, encompassing programs such as the 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 other fields.
The duration of DataMites' data scientist course in Port Louis ranges from 1 to 8 months, depending on the particular level of the course.
Enrolling in the Certified Data Scientist Training in Port Louis requires no prerequisites, making it well-suited for beginners and intermediate learners in the field of data science.
The convenience of online data science training in Port Louis with DataMites allows participants to learn from any place, removing geographical constraints and providing access to high-quality education. The interactive learning environment on the online platform encourages engagement through discussions, forums, and collaborative activities, contributing to an enriched data science training experience.
DataMites' data science training programs in Port Louis are priced between MUR 23,665 and MUR 59,171, offering participants a range of options for affordable access to quality education and skill development in the realm of data science.
Indeed, participants need to bring a valid photo identification proof, such as a national ID card or driver's license, when collecting their participation certificate or scheduling the certification exam, as applicable.
Participants at DataMites receive recorded sessions and supplementary materials if they miss a data science training session in Port Louis, enabling them to catch up at their convenience.
Indeed, DataMites in Port Louis allows participants to attend a demo class before committing to the data science training fee, providing them with an opportunity to experience the course structure and content.
In Port Louis, participants have the opportunity to enroll in data science courses with internship components at DataMites, allowing them to gain practical experience and improve their skills in real-world applications.
Specifically curated for managers and leaders, the "Data Science for Managers" course at DataMites is designed to furnish essential skills for integrating data science into decision-making, facilitating well-informed and strategic choices.
Conducting DataMites' data science training sessions are seasoned mentors and faculty members who bring real-time experience from top companies, including prestigious institutions like IIMs.
Indeed, participants in Port Louis have the option to engage in help sessions, offering a valuable opportunity to gain a deeper understanding of specific data science topics. This ensures comprehensive learning and addresses individual queries effectively.
Indeed, DataMites in Port Louis offers a Data Scientist Course that incorporates hands-on experience through 10+ capstone projects and a dedicated client/live project. This practical exposure serves to enhance participants' skills, providing tangible real-world application and industry-relevant experience.
Indeed, at DataMites, a Data Science Course Completion Certificate is awarded. Upon successful completion, participants can request the certificate via the online portal, affirming their competency in data science and elevating their standing in the job market.
DataMites' career mentoring sessions are structured interactively, delivering personalized guidance on resume building, interview preparation, and career strategies. These sessions impart valuable insights and strategies to elevate participants' professional journey in the field of data science.
The training methods available for data science courses at DataMites in Port Louis include Online data science training in Port Louis and Self-Paced Training.
Completing DataMites' Data Science Training in Port Louis grants participants the prestigious IABAC Certification, an internationally recognized validation of their mastery in data science concepts and practical applications. This certification acts as a valuable credential, verifying their expertise and boosting their credibility within the data science realm.
At DataMites, the Flexi-Pass offers participants the flexibility to attend missed sessions, providing access to recorded sessions and supplementary materials. This ensures a tailored learning experience that accommodates individual schedules seamlessly.
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.