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 practically employed to elevate decision-making processes, predict trends, optimize workflows, and tackle intricate problems across a myriad of industries.
Critical stages in a Data Science workflow encompass defining the problem, collecting data, cleaning data, conducting exploratory data analysis, engineering features, building models, evaluating outcomes, and deploying solutions.
Big Data and Data Science are intricately linked, with Data Science utilizing advanced analytics to extract meaningful insights from large and complex datasets referred to as Big Data.
Data Science exerts influence on e-commerce by tailoring recommendations, refining customer experiences, and optimizing pricing strategies to amplify both sales and satisfaction.
Data Science enhances cybersecurity through the identification of anomalies, pattern recognition, and predictive analytics, effectively identifying and preventing potential security threats.
Data Science finds application in diverse industries such as healthcare, finance, marketing, and manufacturing, facilitating informed decision-making and process optimization.
Distinguishing Data Science from machine learning lies in the scope: Data Science encompasses a broader range of techniques for extracting insights from data, while machine learning specifically focuses on developing algorithms for predictive modeling.
Eligible candidates for Data Science certification courses include individuals with a background in statistics, mathematics, computer science, or related fields who aspire to acquire expertise in data analysis.
The term Data Science encompasses the extraction of knowledge and insights from structured and unstructured data using scientific methods, processes, algorithms, and systems.
The functioning mechanism of Data Science involves collecting, processing, analyzing, and interpreting data to extract valuable insights and support informed decision-making across various domains.
Constructing a data science portfolio involves completing projects, showcasing coding skills, and highlighting problem-solving abilities to demonstrate proficiency in the field.
Transitioning from a non-coding background to data science is achievable by learning programming languages like Python or R, gaining statistical knowledge, and building a robust portfolio of practical projects.
Educational qualifications for data science typically include a degree in a related field such as statistics, computer science, or mathematics, along with proficiency in relevant programming languages.
Essential skills for aspiring data scientists include programming, statistical analysis, machine learning, data visualization, and domain-specific knowledge to excel in the field.
Initial steps in Thimphu involve acquiring key data science skills, engaging in online courses or bootcamps, and networking with local professionals to kickstart a career in the field.
The job market outlook for data science in Thimphu in 2024 may vary, but there is a general global increase in demand for skilled data scientists, presenting promising opportunities.
The Certified Data Scientist Course in Thimphu is widely acknowledged for its excellence in data science training, covering crucial topics such as machine learning and data analysis.
Internships in Thimphu offer significant value in the field of data science, providing practical experience, fostering networking opportunities, and enhancing overall employability for aspiring professionals.
Data Science salaries in Thimphu are competitive, with reported ranges starting from BTN 86,000 per year according to Glassdoor reports, indicating favourable compensation in the field.
Certainly, individuals without prior experience can undertake a data science course in Thimphu and secure a job by building a strong portfolio that showcases acquired skills and knowledge. Practical projects and networking can significantly enhance employability in the evolving field of data science.
The curriculum of the DataMites Certified Data Scientist Course in Thimphu is distinguished as a leading, all-encompassing, and industry-focused program in the field of Data Science and Machine Learning worldwide. Continuously updated to meet current industry demands, this well-crafted course offers a systematic learning path, enabling participants to gain knowledge with a particular emphasis.
For individuals new to the field in Thimphu, there are entry-level training options, including courses like Certified Data Scientist, Data Science Foundation, and Diploma in Data Science.
DataMites in Thimphu offers specialized courses tailored for professionals aiming to boost their expertise. These cover Statistics for Data Science, Data Science with R Programming, Python for Data Science, Data Science Associate, and certifications in Operations, Marketing, HR, and Finance.
The duration of DataMites' data scientist course in Thimphu varies, spanning from 1 to 8 months, depending on the specific course level.
No prior prerequisites are necessary for enrolling in the Certified Data Scientist Training in Thimphu, making it accessible for beginners and intermediate learners entering the field of data science.
Opting for online data science training in Thimphu from DataMites offers flexibility, enabling participants to learn at their own pace and overcome geographical barriers. The curriculum is comprehensive, aligning with industry needs, and expert instructors ensure an engaging and interactive learning experience.
DataMites' data science training fees in Thimphu range from BTN 44,152 to BTN 110,394, offering affordable options for quality education in the field of data science.
Instructors at DataMites are chosen based on certifications, extensive industry experience, and proven expertise in the subject matter, ensuring high-quality training sessions.
Participants in the DataMites Certified Data Scientist Course in Thimphu are required to present a valid Photo ID Proof, such as a National ID card or Driving License, to obtain a Participation Certificate.
In the event of a missed session, participants in the DataMites Certified Data Scientist Course in Thimphu typically have the option to catch up through recorded sessions or participate in dedicated support sessions, ensuring they stay on course with the program.
Certainly, prospective participants in Thimphu can participate in a demo class for the Certified Data Scientist Course at DataMites before making any financial commitment, enabling them to assess the course structure and teaching methodology.
Yes, DataMites incorporates internships into its certified data scientist course in Thimphu, providing valuable practical exposure to the industry and enhancing participants' skills and job prospects.
DataMites offers a specialized "Data Science for Managers" course designed exclusively for managers and leaders, equipping them with essential skills to seamlessly incorporate data science into decision-making processes.
Certainly, participants in Thimphu have the option to attend help sessions, offering a deeper understanding of specific data science topics and ensuring a well-rounded and comprehensive learning experience.
Indeed, DataMites' Data Scientist Course in Thimphu incorporates hands-on learning through over 10 capstone projects and a dedicated client/live project, providing participants with practical exposure to real-world industry scenarios.
Upon successful completion of the Data Science Course, participants can request the certificate through the online portal, validating their proficiency in data science. The certification awarded is internationally recognized by IABAC.
The FLEXI-PASS feature in DataMites' Certified Data Scientist Course allows participants the flexibility to enroll in multiple batches, facilitating the revisiting of topics and enhancing their understanding for a comprehensive and personalized learning experience.
Career mentoring sessions at DataMites follow an interactive format, providing personalized guidance on resume building, interview preparation, and career strategies. These sessions are designed to enrich participants' professional journey in the field of data science.
DataMites offers a variety of learning methods, including live online training and self-paced training, providing participants in Thimphu with flexibility and personalized learning experiences tailored to their preferences.
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.