DATA ANALYST CERTIFICATION AUTHORITIES

COURSE FEATURES

DATA ANALYST LEAD MENTORS

DATA ANALYST COURSE FEE IN CAMBODIA

Live Virtual

Instructor Led Live Online

KHR 4,714,290
KHR 2,675,249

  • IABAC® Certification
  • 6-Month | 200+ Learning Hours
  • 20 HOURS LEARNING A WEEK
  • 10 Capstone & 1 Client Project
  • 365 Days Flexi Pass + Cloud Lab
  • Internship + Job Assistance

Blended Learning

Self Learning + Live Mentoring

KHR 2,357,140
KHR 1,533,102

  • Self Learning + Live Mentoring
  • IABAC® Certification
  • 1 Year Access To Elearning
  • 10 Capstone & 1 Client Project
  • Job Assistance
  • 24*7 Learner assistance and support

Corporate Training

Customize Your Training


  • Instructor-Led & Self-Paced training
  • Customized Learning Options
  • Industry Expert Trainers
  • Case Study Approach
  • Enterprise Grade Learning
  • 24*7 Cloud Lab

ARE YOU LOOKING TO UPSKILL YOUR TEAM ?

Enquire Now

UPCOMING DATA ANALYST ONLINE CLASSES IN CAMBODIA

BEST DATA ANALYTICS CERTIFICATIONS

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.

images not display images not display

WHY DATAMITES INSTITUTE FOR DATA ANALYST COURSE

Why DataMites Infographic

SYLLABUS OF DATA ANALYST COURSE IN CAMBODIA

MODULE 1: DATA ANALYSIS FOUNDATION

• Data Analysis Introduction
• Data Preparation for Analysis
• Common Data Problems
• Various Tools for Data Analysis
• Evolution of Analytics domain

MODULE 2: CLASSIFICATION OF ANALYTICS

• Four types of the Analytics
• Descriptive Analytics
• Diagnostics Analytics
• Predictive Analytics
• Prescriptive Analytics
• Human Input in Various type of Analytics

MODULE 3: CRIP-DM Model

• Introduction to CRIP-DM Model
• Business Understanding
• Data Understanding
• Data Preparation
Modeling, Evaluation, Deploying,Monitoring

MODULE 4: UNIVARIATE DATA ANALYSIS

• Summary statistics -Determines the value’s center and spread.
• Measure of Central Tendencies: Mean, Median and Mode
• Measures of Variability: Range, Interquartile range, Variance and Standard Deviation
• Frequency table -This shows how frequently various values occur.
• Charts -A visual representation of the distribution of values.

MODULE 5: DATA ANALYSIS WITH VISUAL CHARTS

• Line Chart
• Column/Bar Chart
• Waterfall Chart
• Tree Map Chart
• Box Plot

MODULE 6: BI-VARIATE DATA ANALYSIS

• Scatter Plots
• Regression Analysis
• Correlation Coefficients

MODULE 1: PYTHON BASICS

• Introduction of python
• Installation of Python and IDE
• Python Variables
• Python basic data types
• Number & Booleans, strings
• Arithmetic Operators
• Comparison Operators
• Assignment Operators

MODULE 2: PYTHON CONTROL STATEMENTS

• IF Conditional statement
• IF-ELSE
• NESTED IF
• Python Loops basics
• WHILE Statement
• FOR statements
• BREAK and CONTINUE statements

MODULE 3: PYTHON DATA STRUCTURES

• Basic data structure in python
• Basics of List
• List: Object, methods
• Tuple: Object, methods
• Sets: Object, methods
• Dictionary: Object, methods

MODULE 4: PYTHON FUNCTIONS

• Functions basics
• Function Parameter passing
• Lambda functions
• Map, reduce, filter functions

MODULE 1 : OVERVIEW OF STATISTICS 

  • Introduction to Statistics
  • Descriptive And Inferential Statistics
  • Basic Terms Of Statistics
  • Types Of Data

MODULE 2 : HARNESSING DATA 

  • Random Sampling
  • Sampling With Replacement And Without Replacement
  • Cochran's Minimum Sample Size
  • Types of Sampling
  • Simple Random Sampling
  • Stratified Random Sampling
  • Cluster Random Sampling
  • Systematic Random Sampling
  • Multi stage Sampling
  • Sampling Error
  • Methods Of Collecting Data

MODULE 3 : EXPLORATORY DATA ANALYSIS 

  • Exploratory Data Analysis Introduction
  • Measures Of Central Tendencies: Mean, Median And Mode
  • Measures Of Central Tendencies: Range, Variance And Standard Deviation
  • Data Distribution Plot: Histogram
  • Normal Distribution & Properties
  • Z Value / Standard Value
  • Empherical Rule  and Outliers
  • Central Limit Theorem
  • Normality Testing
  • Skewness & Kurtosis
  • Measures Of Distance: Euclidean, Manhattan And MinkowskiDistance
  • Covariance & Correlation

MODULE 4 : HYPOTHESIS TESTING 

  • Hypothesis Testing Introduction
  • P- Value, Critical Region
  • Types of Hypothesis Testing
  • Hypothesis Testing Errors : Type I And Type Ii
  • Two Sample Independent T-test
  • Two Sample Relation T-test
  • One Way Anova Test
  • Application of Hypothesis testing

MODULE 1: COMPARISION AND CORRELATION ANALYSIS

• Data comparison Introduction,
• Performing Comparison Analysis on Data
• Concept of Correlation
• Calculating Correlation with Excel
• Comparison vs Correlation
• Hands-on case study : Comparison Analysis
• Hands-on case study Correlation Analysis

MODULE 2: VARIANCE AND FREQUENCY ANALYSIS

• Variance Analysis Introduction
• Data Preparation for Variance Analysis
• Performing Variance and Frequency Analysis
• Business use cases for Variance Analysis
• Business use cases for Frequency Analysis

MODULE 3: RANKING ANALYSIS

• Introduction to Ranking Analysis
• Data Preparation for Ranking Analysis
• Performing Ranking Analysis with Excel
• Insights for Ranking Analysis
• Hands-on Case Study: Ranking Analysis

MODULE 4: BREAK EVEN ANALYSIS

• Concept of Breakeven Analysis
• Make or Buy Decision with Break Even
• Preparing Data for Breakeven Analysis
• Hands-on Case Study: Manufacturing

MODULE 5: PARETO (80/20 RULE) ANALSYSIS

• Pareto rule Introduction
• Preparation Data for Pareto Analysis,
• Performing Pareto Analysis on Data
• Insights on Optimizing Operations with Pareto Analysis
• Hands-on case study: Pareto Analysis

MODULE 6: Time Series and Trend Analysis

• Introduction to Time Series Data
• Preparing data for Time Series Analysis
• Types of Trends
• Trend Analysis of the Data with Excel
• Insights from Trend Analysis

MODULE 7: DATA ANALYSIS BUSINESS REPORTING

• Management Information System Introduction
• Various Data Reporting formats
• Creating Data Analysis reports as per the requirements

MODULE 1: DATA ANALYTICS FOUNDATION

• Business Analytics Overview
• Application of Business Analytics
• Benefits of Business Analytics
• Challenges
• Data Sources
• Data Reliability and Validity

MODULE 2: OPTIMIZATION MODELS

• Predictive Analytics with Low Uncertainty;Case Study
• Mathematical Modeling and Decision Modeling
• Product Pricing with Prescriptive Modeling
• Assignment 1 : KERC Inc, Optimum Manufacturing Quantity

MODULE 3: PREDICTIVE ANALYTICS WITH REGRESSION

• Mathematics behind Linear Regression
• Case Study : Sales Promotion Decision with Regression Analysis
• Hands on Regression Modeling in Excel

MODULE 4: DECISION MODELING

• Predictive Analytics with High Uncertainty
• Case Study-Monte Carlo Simulation
• Comparing Decisions in Uncertain Settings
• Trees for Decision Modeling
• Case Study : Supplier Decision Modeling - Kickathlon Sports Retailer

MODULE 1: MACHINE LEARNING INTRODUCTION

• What Is ML? ML Vs AI
• ML Workflow, Popular ML Algorithms
• Clustering, Classification And Regression
• Supervised Vs Unsupervised

MODULE 2: ML ALGO: LINEAR REGRESSSION

• Introduction to Linear Regression
• How it works: Regression and Best Fit Line
• Hands-on Linear Regression with ML Tool

MODULE 3: ML ALGO: LOGISTIC REGRESSION

• Introduction to Logistic Regression;
• Classification & Sigmoid Curve
• Hands-on Logistics Regression with ML Tool

MODULE 4: ML ALGO: KNN

• Introduction to KNN; Nearest Neighbor
• Regression with KNN
• Hands-on: KNN with ML Tool

MODULE 5: ML ALGO: K MEANS CLUSTERING

• Understanding Clustering (Unsupervised)
• Introduction to KMeans and How it works
• Hands-on: K Means Clustering

MODULE 6: ML ALGO: DECISION TREE

• Decision Tree and How it works
• Hands-on: Decision Tree with ML Tool

MODULE 7: ML ALGO: SUPPORT VECTOR MACHINE (SVM)

• Introduction to SVM
• How It Works: SVM Concept, Kernel Trick
• Hands-on: SVM with ML Tool

MODULE 8: ARTIFICIAL NEURAL NETWORK (ANN)

• Introduction to ANN, How It Works
• Back propagation, Gradient Descent
• Hands-on: ANN with ML Tool

MODULE 1: DATABASE INTRODUCTION

• DATABASE Overview
• Key concepts of database management
• CRUD Operations
• Relational Database Management System
• RDBMS vs No-SQL (Document DB)

MODULE 2: SQL BASICS

• Introduction to Databases
• Introduction to SQL
• SQL Commands
• MY SQL workbench installation

MODULE 3: DATA TYPES AND CONSTRAINTS

• Numeric, Character, date time data type
• Primary key, Foreign key, Not null
• Unique, Check, default, Auto increment

MODULE 4: DATABASES AND TABLES (MySQL)

• Create database
• Delete database
• Show and use databases
• Create table, Rename table
• Delete table, Delete table records
• Create new table from existing data types
• Insert into, Update records
• Alter table

MODULE 5: SQL JOINS

• Inner join, Outer Join
• Left join, Right Join
• Self Join, Cross join
• Windows Functions: Over, Partition, Rank

MODULE 6: SQL COMMANDS AND CLAUSES

• Select, Select distinct
• Aliases, Where clause
• Relational operators, Logical
• Between, Order by, In
• Like, Limit, null/not null, group by
• Having, Sub queries

MODULE 7: DOCUMENT DB/NO-SQL DB

• Introduction of Document DB
• Document DB vs SQL DB
• Popular Document DBs
• MongoDB basics
• Data format and Key methods
• MongoDB data management

MODULE 1: BIG DATA INTRODUCTION

• Big Data Overview
• Five Vs of Big Data
• What is Big Data and Hadoop
• Introduction to Hadoop
• Components of Hadoop Ecosystem
• Big Data Analytics Introduction

MODULE 2: HDFS AND MAP REDUCE

• HDFS – Big Data Storage
• Distributed Processing with Map Reduce
• Mapping and reducing stages concepts
• Key Terms: Output Format, Partitioners, Combiners, Shuffle, and Sort

MODULE 3: PYSPARK FOUNDATION

• PySpark Introduction
• Spark Configuration
• Resilient distributed datasets (RDD)
• Working with RDDs in PySpark
• Aggregating Data with Pair RDDs

MODULE 4: SPARK SQL and HADOOP HIVE

• Introducing Spark SQL
• Spark SQL vs Hadoop Hive

MODULE 1: TABLEAU FUNDAMENTALS

• Introduction to Business Intelligence & Introduction to Tableau
• Interface Tour, Data visualization: Pie chart, Column chart, Bar chart.
• Bar chart, Tree Map, Line Chart
• Area chart, Combination Charts, Map
• Dashboards creation, Quick Filters
• Create Table Calculations
• Create Calculated Fields
• Create Custom Hierarchies

MODULE 2: POWER-BI BASICS

• Power BI Introduction
• Basics Visualizations
• Dashboard Creation
• Basic Data Cleaning
• Basic DAX FUNCTION

MODULE 3: DATA TRANSFORMATION TECHNIQUES

• Exploring Query Editor
• Data Cleansing and Manipulation:
• Creating Our Initial Project File
• Connecting to Our Data Source
• Editing Rows
• Changing Data Types
• Replacing Values

MODULE 4: CONNECTING TO VARIOUS DATA SOURCES

• Connecting to a CSV File
• Connecting to a Webpage
• Extracting Characters
• Splitting and Merging Columns
• Creating Conditional Columns
• Creating Columns from Examples
• Create Data Model

OFFERED DATA ANALYST COURSES IN CAMBODIA

DATA ANALYST COURSE REVIEWS

ABOUT DATA ANALYST TRAINING IN CAMBODIA

A Data Analyst course in Cambodia provides comprehensive training in data analysis techniques, equipping students with the skills to extract valuable insights from diverse datasets, meet business needs, and drive informed decision-making in various industries.

As per a report from Acumen Research and Consulting, the global data analytics market achieved a value of USD 31.8 billion in 2021. Forecasts indicate substantial growth, with the market expected to reach USD 329.8 billion by 2030, experiencing an impressive compound annual growth rate (CAGR) of 29.9% from 2022 to 2030.

The Data Analytics Industry in Cambodia is gaining prominence, aligning with global trends. The country's commitment to technological advancement positions it as a frontrunner in utilizing data for strategic decision-making across various sectors.

DataMites, an internationally acknowledged institution, is introducing its extensive 6-month Certified Data Analyst Course in Cambodia. This 200-hour program explores essential subjects like No-code, MySQL, Power BI, Excel, and Tableau, providing a thorough and immersive learning journey. With accreditation from IABAC, the institute guarantees an internationally recognized certification, drawing on a decade of expertise and having effectively educated over 50,000+ learners worldwide.

Offering online data analyst training in Cambodia, DataMites provides valuable insights into the field. The curriculum, combined with internship support and projects, nurtures comprehensive career development for students.

DataMites presents a comprehensive learning journey for its data analytics courses in Cambodia, structured into three distinctive phases to ensure a well-rounded educational experience.

Embark on Phase 1, where your learning journey begins with a self-study component. Access high-quality instructional videos that follow an easy learning approach, laying a solid foundation for the subsequent modules.

Transition seamlessly to Phase 2, a three-month live training segment requiring a commitment of 20 hours per week to immersive learning. Take advantage of a detailed syllabus, engage in hands-on projects, and receive guidance from experienced trainers and mentors.

Conclude your learning adventure with Phase 3, a three-month project mentoring stage. Participate in 10 capstone projects, including a real-time data analyst internship in Cambodia and a client/live project. This final phase culminates in IABAC and data analytics Internship Certifications in Cambodia, providing a comprehensive certification for your skills.

The DataMites Certified Data Analyst Course in Cambodia offers a range of noteworthy features:

Guidance from Industry Leaders:

Led by Ashok Veda, the Founder & CEO of Rubixe™, a seasoned professional with over 19 years of expertise in Data Analytics and AI. His leadership ensures a high-quality education, enhancing your learning journey.

Cutting-edge Curriculum:

The program features an innovative curriculum, providing both a No-Code Program and an optional Python track. This extensive 6-month learning experience requires a commitment of 20 hours per week, totaling over 200 learning hours.

Global Certification and Flexible Learning:

Achieve industry recognition with IABAC® Certification through a flexible learning approach. The program seamlessly integrates online data analytics courses in Cambodia with self-study options, accommodating your schedule.

Hands-on Projects and Internship Opportunities:

Engage in real-world applications with 10 capstone projects and a client/live project, including a valuable data analytics internship opportunity in Cambodia for practical experience.

Comprehensive Career Support:

Access extensive career support, including end-to-end job assistance, personalized resume and data analytics interview preparation, regular job updates, and valuable connections within DataMites' exclusive learning community for continuous growth.

Cost-effective Pricing and Scholarships:

Avail quality education at affordable prices, ranging from KHR 17,62,566 to KHR 54,19,795 for Data Analytics Training Fees in Cambodia. Explore scholarship opportunities to further enhance your learning journey.

Cambodia, located in Southeast Asia, is known for its rich cultural heritage, ancient temples like Angkor Wat, and vibrant traditional arts. Despite historical challenges, the country has made significant strides in recent years, with a growing economy driven by tourism, agriculture, and textile industries. Efforts to improve education are underway, aiming to enhance the skill sets of the population and contribute to Cambodia's overall development.

The future of data analytics in Cambodia is promising, with increasing recognition of its role in informed decision-making. As businesses and organizations embrace digital transformation, the demand for skilled data analysts is expected to rise, driving innovation and efficiency across various sectors. Moreover, the salary of a data analyst in Cambodia ranges from KHR 41,000,000 per year according to a Salary Explorer report.

Embark on a transformative educational experience with DataMites, your gateway to mastering Data Analytics. As a leading institute, we provide excellent training in Certified Data Analyst courses in Cambodia, led by industry expert Ashok Veda. Our program guarantees a strong foundation and industry-recognized credentials through IABAC Certification.

DataMites goes beyond Data Analytics, presenting a diverse range of courses in Python, Machine Learning, Data Science, Data Engineering, Tableau, Artificial Intelligence, and other advanced technologies. Our comprehensive approach prepares you for the ever-evolving tech sector, opening up exciting opportunities for your career.

ABOUT DATAMITES DATA ANALYST COURSE IN CAMBODIA

 The realm of data analytics entails unravelling and examining data to extract meaningful insights, fostering well-informed decision-making processes.

 A data analyst's responsibilities encompass interpreting data, creating insightful reports, and effectively communicating findings to aid organizations in making informed, data-driven decisions.

 Key skills for a thriving data analytics career include expertise in statistical analysis, proficiency in data visualization, programming languages mastery (such as Python or R), and adept management of databases.

 The primary tasks of a data analyst involve collecting, processing, and analyzing data, along with crafting comprehensive reports offering actionable insights for strategic decision-making within businesses.

 Data analytics unfolds diverse career opportunities across industries like finance, healthcare, marketing, and technology, showcasing its broad relevance and applicability.

 Key roles in data analytics include Data Analyst, Business Analyst, Data Scientist, and Machine Learning Engineer, each contributing uniquely to the dynamic field.

 The future of data analysis is poised for increased automation, integration of AI technologies, and a growing demand for adept professionals capable of navigating and adapting to the evolving analytical landscape.

 While criteria may vary, a common prerequisite for enrolling in a data analyst course usually involves obtaining a bachelor's degree in a relevant field.

 Vital tools for learning data analytics include Excel, SQL, programming languages like Python or R, and visualization tools such as Tableau, forming the foundational toolkit for effective data analysis.

 Embarking on the journey of studying data analytics is both challenging and rewarding, requiring analytical thinking and a commitment to continuous learning to stay abreast of industry advancements.

 Embarking on the journey of studying data analytics is both challenging and rewarding, requiring analytical thinking and a commitment to continuous learning to stay abreast of industry advancements.

 A robust grasp of SQL is vital for data analysts to effectively query and manipulate databases, ensuring streamlined and efficient data analysis processes.

 Attaining proficiency in data analytics within six months is achievable through concentrated learning efforts and hands-on practical experience.

 The estimated Data Analyst Course fee in Cambodia for 2024 is expected to range between KHR 2,000,000 to KHR 6,000,000.

 Certified Data Analyst courses confer industry-recognized credentials, validating an individual's competency in the field of data analysis.

 Internships play a pivotal role in data analytics learning, providing invaluable real-world experience and exposing learners to industry practices, thereby enhancing their practical skills.

 Projects contribute to an enriched learning experience in data analytics by allowing the application of theoretical knowledge to practical scenarios, fostering hands-on experience and skill development.

 Data analytics provides a broad career scope, encompassing opportunities in data engineering, business intelligence, and data science, offering diverse pathways for career growth.

 While advantageous, Python is not always mandatory for data analysts; however, proficiency in at least one programming language is recommended for effective data analysis.

 While coding is a component of data analytics, the extent varies; proficiency in scripting languages can be advantageous, dependent on the complexity of the analysis.

 Data analytics is widely recognized as a challenging field due to its multidisciplinary nature, providing rewarding career opportunities for those who successfully navigate its complexities.

 The salary of a data analyst in Cambodia ranges from KHR 41,000,000 per year according to a Salary Explorer report.

View more

FAQ’S OF DATA ANALYST TRAINING IN CAMBODIA

 DataMites excels as a premier provider of data analyst certification training in Cambodia, offering tangible evidence of proficiency in data analytics. The program not only imparts crucial skills for data interpretation but also ensures opportunities with renowned multinational companies. Holding a certification from DataMites not only demonstrates competence but also signifies the ability to meet professional standards, adding substantial value beyond a basic data analytics certificate.

 Tailored for individuals aspiring to enter the fields of data analytics or data science, DataMites' Certified Data Analyst Course has no coding prerequisites, making it inclusive and accessible to all. This makes it an excellent option for beginners, ensuring a comprehensive understanding of the subject through a well-structured training program.

 Spanning approximately 6 months with 200+ hours of learning and a recommended commitment of 20 hours per week, DataMites' Data Analyst Course ensures a thorough coverage of the material, facilitating a deep understanding of the concepts.

The tools included in the curriculum of the Certified Data Analyst Course in Cambodia are as follows:

  • MySQL
  • Anaconda
  • MongoDB
  • Hadoop
  • Apache PySpark
  • Tableau
  • Power BI
  • Google BERT
  • Tensor Flow
  • Advanced Excel
  • Numpy
  • Pandas
  • Google Colab
  • GitHub
  • Atlassian BitBucket 

Choosing DataMites for the Certified Data Analyst Course in Cambodia ensures an exceptional learning journey. The program offers a flexible study environment, a curriculum designed for practical application, distinguished instructors, and an exclusive practice lab, fostering a vibrant learning community. With lifetime access, continuous growth opportunities through unlimited hands-on projects, and dedicated placement support, DataMites stands out as a comprehensive and advantageous choice for those aspiring to build a career in data analytics.

The Data Analytics course fees in Cambodia provided by DataMites range from KHR 17,62,566 to KHR 54,19,795.

The Certified Data Analyst Course in Cambodia covers a broad spectrum of subjects, including Data Analysis Foundation, Statistics Essentials, Data Analysis Associate, Advanced Data Analytics, Predictive Analytics with Machine Learning, Database: SQL and MongoDB, Version Control with Git, Big Data Foundation, Python Foundation, concluding with the Certified Business Intelligence (BI) Analyst module. This carefully crafted curriculum ensures a comprehensive understanding of crucial concepts for a successful data analytics career.

Certainly, DataMites in Cambodia offers substantial one-on-one support from instructors to enhance participants' understanding of data analytics course content, fostering an optimal learning environment.

In Cambodia, DataMites accepts various payment methods, including cash, debit cards, credit cards (Visa, Mastercard, American Express), checks, EMI, PayPal, and net banking. This flexibility provides convenient options for participants to streamline their course enrollment and payment procedures.

The Certified Data Analyst Course in Cambodia at DataMites is led by Ashok Veda, a highly esteemed Data Science coach and AI expert. The team comprises elite mentors and faculty members with hands-on experience from prestigious companies and renowned institutes like IIMs, ensuring exceptional mentorship and guidance throughout participants' learning journeys.

The Flexi Pass offered in DataMites' Data Analytics Course in Cambodia empowers participants to choose batches that align with their schedules, providing flexibility in training. This versatile option allows learners to customize the course based on their availability, enhancing convenience and accessibility.

Certainly, upon successful completion of the Certified Data Analyst Course in Cambodia at DataMites, participants receive the prestigious IABAC Certification. This widely recognized certification validates their expertise in data analytics, enhancing their credibility within the industry.

DataMites adopts a results-driven approach in its Certified Data Analyst Course in Cambodia, integrating hands-on practical sessions, real-world case studies, and industry-relevant projects. This immersive methodology ensures participants not only understand theoretical concepts but also acquire practical skills, effectively preparing them for the dynamic field of data analytics.

DataMites offers flexibility through options like Online Data Analytics Training in Cambodia or Self-Paced Training. Participants can select the mode that suits their learning preferences and schedule, whether through instructor-led online sessions or self-paced learning. Both approaches offer a comprehensive and accessible educational experience tailored to individual needs.

In the case of a missed data analytics session in Cambodia, DataMites provides recorded sessions, enabling individuals to catch up on the missed content at their convenience. This flexibility supports continuous learning and minimizes the impact of occasional absence.

To attend DataMites' data analytics training in Cambodia, participants need to present a valid photo ID, such as a national ID card or driver's license. This documentation is essential for obtaining the participation certificate and scheduling any relevant certification exams.

In Cambodia, DataMites organizes personalized data analytics career mentoring sessions, where experienced mentors offer guidance on industry trends, resume building, and interview preparation. These interactive sessions focus on individual career goals, providing customized advice to navigate the dynamic landscape of data analytics successfully.

The Certified Data Analyst Course in Cambodia provided by DataMites holds significant value as the most comprehensive non-coding course available, catering to individuals from non-technical backgrounds. The program offers a unique combination of a 3-month internship in an AI company, an experience certificate, and training by expert faculty, ultimately leading to the prestigious IABAC Certification.

Certainly, DataMites in Cambodia provides an internship alongside the Certified Data Analyst Course through exclusive collaborations with prominent Data Science companies. This exceptional opportunity allows learners to apply their acquired knowledge in creating real-world data models, benefiting businesses, with expert guidance from DataMites ensuring a meaningful and practical internship experience.

DataMites in Cambodia integrates live projects into the data analyst course, featuring 5+ Capstone Projects and 1 Client/Live Project. This hands-on experience enables participants to apply their skills in real-world scenarios, enhancing practical proficiency and industry readiness.

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: -

  • 1. Job connect
  • 2. Resume Building
  • 3. Mock interview with industry experts
  • 4. Interview questions

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.

View more

OTHER DATA ANALYST TRAINING CITIES IN CAMBODIA

Global DATA ANALYTICS COURSES Countries

popular career ORIENTED COURSES

DATAMITES POPULAR COURSES


HELPFUL RESOURCES - DataMites Official Blog