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SYLLABUS OF DATA SCIENCE COURSE IN MYANMAR

  • Introduction to Data Science
  • Industry applications
  • Terminologies
  • Anaconda - Python distribution Installation and setup
  • Jupyter Notebook
  • Python Basics
  • Data structures
  • Control statements
  • R Installation and Setup
  • R Studio Basics
  • R Data Structures
  • Control Statements
  • Data Science Packages
  • Essential mathematics
  • Linear algebra
  • Linear Transformation
  • Types of Matrices
  • Matrix properties and Operations
  • Probability and Calculus
  • Statistics Introduction
  • Terminologies
  • Inferential Statistics
  • Harnessing Data
  • Exploratory Analysis
  • Distributions
  • Central Limit Theorem
  • Hypothesis Testing
  • Correlation and Regression
  • Numpy Array functions
  • Data munging with Pandas
  • Imputation
  • Outlier analysis
  • Visualization basics
  • Matplotlib Introduction
  • Basic plots
  • Customizing plots
  • Sub-plots
  • Statistical Plots
  • Seaborn package introduction
  • Machine Learning Introduction
  • ML core concepts
  • Unsupervised and Supervised Learning
  • Clustering with K-Means
  • Linear Regression
  • Logistic Regression
  • K-nearest Neighbor
  • Bayes Theorem
  • Naïve Bayes Algorithm for text classification
  • Decision Tree
  • Ensemble methods: Random Forest
  • Extra Trees
  • SVM
  • Boosting Techniques
  • XGBOOST
  • Artificial Neural Network
  • Adv Metrics
  • Imbalanced Dataset
  • Grid search
  • K-fold Cross validation
  • Relational Database Management Systems basics
  • SQL Introduction
  • Connection to SQL databases
  • Fetching data with SELECT, WHERE condition, SQL JOINs, SQL CRUD operations
  • Deep Learning Introduction
  • TensorFlow and Keras
  • Convolution Neural Network basics
  • End to End image classification of cats and dogs using TensorFlow-Keras platform
  • Visual Analytics basics
  • Tableau Introduction
  • Connecting to data source
  • Dimensions vs. Measures
  • Basic plots, compound plots, forecasting, publishing
  • ML Deployment Strategies
  • Flask introduction
  • Packing training ML model
  • Deploying it on Flask as API
  • Introduction to Big Data
  • Hadoop Concepts
  • Spark Big Data for Data Science Processing
  • Handling Big Data in Machine Learning Pipeline
  • Data Science Project Management method
  • Business Case
  • Risk and Limitation of Machine Learning
  • Project Pit falls

OFFERED DATA SCIENCE COURSES IN MYANMAR

DATA SCIENCE COURSE REVIEWS

ABOUT DATA SCIENTIST TRAINING IN MYANMAR

Data Science has found great relevance, with regards to applications in business organisations. Almost every modern-day enterprise works in close coordination with data, and structures all their important decisions based on the valuable insights derived from it. A Data Scientist happens to be a significant part of the workforce of an organisation, as it is based on the inferences drawn by a data scientist that further plans of action are decided upon. According to IBM, there will be around 700000 new job opportunities generated in the field of Data Science.

Myanmar's IT sector has been rapidly expanding in recent years, driven by advancements in technology and an increasingly connected population. With a young and tech-savvy workforce, the country has become a hotbed for IT development and innovation. According to recent statistics, the IT sector in Myanmar has grown at an impressive rate of 20% annually. It currently employs over 70,000 professionals and contributes approximately $200 million to the economy. This growth is fueled by a rise in mobile app development, software services, and e-commerce, making Myanmar an emerging player in the global IT industry.

In today's data-driven world, acquiring knowledge in data science has become an invaluable asset that opens doors to countless opportunities. Learning data science course equips you with the skills to extract meaningful insights from vast amounts of information, enabling you to make informed decisions and drive innovation. As businesses increasingly rely on data-driven strategies, proficiency in data science has become a sought-after skill across industries. By mastering data science techniques, you can unlock the power of predictive analytics, machine learning, and artificial intelligence, empowering you to solve complex problems and make data-backed recommendations. So, whether you aspire to be a data scientist, analyst, or manager, embarking on a data science course will provide you with a competitive edge and limitless career prospects in the digital era.

The Certified Data Scientist course offered by DataMites in Myanmar is an industry-oriented certification designed in tune with the best knowledge standards and keeping in mind the long-term objective of helping the aspirants gain professional excellence in their organisational endeavours. This online Data Science course covers - Data Science Foundation, Statistics for Data Science, Python for Data Science, R for Data Science, Tableau. The Certified Data Scientist Course is accredited by IABAC (International Association of Business Analytics Certifications).

DataMites training institute is providing 55% discount on online data science course fee in Myanmar. It’s a limited time offer. For any further details, you can get in touch with our executives.

DataMites also provides training for Certified Data Analyst, Machine Learning, Deep Learning, Python, IoT, Python for Data Science, and Artificial Intelligence courses in Myanmar.

DESCRIPTION OF DATA SCIENCE COURSE IN MYANMAR

FAQ’S OF DATA SCIENCE TRAINING IN MYANMAR

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.

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