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 encompasses the comprehensive field dedicated to deriving valuable insights and knowledge from extensive sets of both structured and unstructured data. It relies on various methods, algorithms, and systems to analyze, interpret, and present information effectively.
The Data Science process involves the systematic collection, cleansing, and analysis of data to uncover meaningful patterns and trends. Statistical models, machine learning algorithms, and data visualization techniques are commonly employed to make well-informed decisions based on the gathered information.
Data Science finds practical applications in diverse areas, including predictive analytics, fraud detection, recommendation systems, sentiment analysis, and the optimization of business processes across various industries.
Critical components of a Data Science pipeline include data collection, data cleaning, exploratory data analysis (EDA), feature engineering, model training, model evaluation, and deployment, all working together to extract valuable insights from data.
Data Science commonly relies on programming languages like Python and R, known for their extensive libraries and frameworks facilitating tasks such as data manipulation, analysis, and machine learning.
Machine learning plays a pivotal role in Data Science by empowering systems to learn patterns from data and make predictions or decisions without explicit programming. This capability enhances the extraction of valuable insights from complex datasets.
The concept of Big Data is closely intertwined with Data Science, as it involves managing and analyzing vast datasets that may challenge conventional tools. Data Science methodologies and algorithms are frequently applied to overcome the challenges posed by Big Data, extracting meaningful insights from these massive datasets.
The adaptability of Data Science is apparent across various sectors such as healthcare, finance, marketing, and manufacturing. Its applications span from streamlining operational processes to enhancing decision-making and overall business efficacy.
While Data Science encompasses a broader range of tasks, including data cleaning, exploration, and visualization, machine learning specifically focuses on developing algorithms that empower systems to learn patterns and make predictions.
Certification courses in Data Science are accessible to individuals from diverse backgrounds, including IT professionals, statisticians, analysts, and business experts. A foundational understanding of statistics and programming proves advantageous for those embarking on the journey of mastering Data Science.
In 2024, the data science job market in Phnom Penh is thriving, experiencing a notable increase in demand for skilled professionals.
Participating in data science internships proves advantageous in Phnom Penh, offering practical experiences that enhance one's employability within the field.
According to a Glassdoor report, the salary for data scientists in Phnom Penh varies, with figures starting from KHR 67,00,000 per year.
Certainly, individuals without prior experience can enroll in data science courses and secure employment in Phnom Penh, as companies are increasingly willing to hire skilled beginners.
Enrolling in data science training courses in Phnom Penh does not necessitate a postgraduate degree; many programs accept candidates with relevant undergraduate backgrounds.
Businesses in Phnom Penh leverage data science for growth by improving decision-making processes, optimizing operations, and enhancing overall customer experiences.
In the finance sector, data science is applied to areas such as risk management, fraud detection, and predictive analytics.
Data science contributes to e-commerce by fueling recommendation systems, enabling personalized marketing strategies, and facilitating accurate demand forecasting.
In the realm of cybersecurity, data science plays a pivotal role in identifying anomalies, recognizing patterns, and bolstering overall threat detection and prevention measures.
In manufacturing and supply chain management, data science is instrumental in optimizing production processes, predicting demand, and enhancing overall logistics efficiency.
Datamites™ Certified Data Scientist course provides comprehensive programming, statistics, machine learning, and business knowledge training. Emphasizing Python as the primary language (with optional use of R), the course lays a strong foundation in data science. Completion leads to an IABAC™ certificate, preparing individuals for successful careers as adept data science professionals.
While a statistical background can be beneficial, it is not always a mandatory requirement for a data science career in Phnom Penh. Proficiency in relevant tools, programming languages, and practical problem-solving skills often take precedence in the field.
DataMites offers a variety of certifications in Phnom Penh, including a 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, among others.
For beginners in Phnom Penh, available courses include Certified Data Scientist, Data Science Foundation, and Diploma in Data Science, providing foundational knowledge to kickstart a career in data science.
In Phnom Penh, DataMites provides specialized courses tailored for professionals, covering 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 data science course offered by DataMites in Phnom Penh has a duration of 8 months, ensuring a thorough learning experience.
Career mentoring sessions at DataMites are interactive, offering personalized guidance on resume building, interview preparation, and career strategies. Participants gain valuable insights and tactics to enhance their professional journey in the field of data science.
Upon completing the training, participants receive the prestigious IABAC Certification from DataMites. This globally recognized certification validates their proficiency in data science concepts and applications, enhancing credibility in the industry.
To excel in Certified Data Scientist Training in Phnom Penh, a strong foundation in mathematics, statistics, and programming is essential. Candidates should possess analytical skills, proficiency in either Python or R, and hands-on experience with extensive datasets and tools like Hadoop or SQL databases.
Opting for online data science training in Phnom Penh from DataMites offers benefits such as self-paced learning, accessibility from any location, a curriculum aligned with industry requirements, industry-relevant content, guidance from experienced instructors, and engaging learning experiences through interactive features.
The pricing for data science training in Phnom Penh with DataMites varies, ranging from KHR 2,156,268 to KHR 5,391,285.
DataMites' Data Scientist Course in Phnom Penh incorporates practical learning through over 10 capstone projects, including a dedicated client/live project for real-world application and exposure to industry practices.
Instructors at DataMites undergo selection based on certifications, substantial industry experience, and demonstrated expertise in the subject matter. The data science training sessions are led by these qualified and experienced professionals.
DataMites provides flexible learning options, including Live Online sessions and self-study, allowing participants to choose the method that aligns with their preferences and learning styles.
The Flexi-Pass feature in DataMites' Certified Data Scientist Course enables participants to join multiple batches for a comprehensive learning experience. This allows them to revisit topics, clarify doubts, and deepen their understanding across various sessions, contributing to a more thorough grasp of the material.
Yes, upon the completion of the Data Science Course in Phnom Penh, DataMites issues a Certificate of Completion, affirming participants' competence in data science.
Participants are required to bring a valid Photo ID Proof, such as a National ID card or Driving License, to obtain a Participation Certificate and schedule the certification exam if necessary.
In case of a missed session in the DataMites Certified Data Scientist Course in Phnom Penh, participants can access recorded sessions or engage in support sessions to catch up on missed content and address any queries.
Certainly, prospective participants at DataMites have the option to attend a demo class before enrolling in the Certified Data Scientist Course in Phnom Penh. This allows them to evaluate the teaching style, course content, and overall structure before committing.
DataMites incorporates internships into its certified data scientist course in Phnom Penh, delivering a distinctive learning experience that blends theoretical knowledge with practical industry exposure.
Upon successful completion of the Data Science training, participants receive an internationally recognized IABAC® certification. This certification validates their expertise in the field and enhances their employability on a global scale.
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.