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WHY DATAMITES INSTITUTE FOR DATA SCIENCE COURSE

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SYLLABUS OF DATA SCIENCE COURSE IN INDONESIA

  • 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 INDONESIA

DATA SCIENCE COURSE REVIEWS

ABOUT DATA SCIENTIST TRAINING IN INDONESIA

Data Science is in big demand across sectors, to address the growing need to effectively manage data flow in organisations. As per the U.S. Bureau of Labour Statistics report, the total number of jobs in Data Science is expected to rise to 11.5 million in the next 5 years.  According to IBM, there will be around 700000 new job opportunities generated in the field of Data Science.

Indonesia is doing a great deal towards, job creation in the field of Data Science. Companies across various sectors in Dhaka,  such as Retail, Healthcare, Travel and Tourism are in great need of  Data Scientists.

Indonesia's IT sector has experienced remarkable growth in recent years, positioning the country as a major player in the digital economy. With a population of over 270 million and a rising middle class, the demand for IT services has surged. According to recent statistics, Indonesia's IT market is expected to reach $50 billion by 2025, with a compound annual growth rate of 11%. The government has been actively promoting digital transformation, leading to increased investments in infrastructure, startups, and tech education. The country's robust e-commerce, fintech, and mobile app sectors further contribute to the vibrant IT ecosystem in Indonesia.

In today's data-driven world, the importance of a Data Science course cannot be overstated. Data Science has revolutionized industries, enabling businesses to make informed decisions and gain a competitive edge. This course equips individuals with the skills to extract valuable insights from vast amounts of data, uncovering patterns and trends that can drive innovation and growth. By mastering techniques such as data analysis, machine learning, and statistical modeling, students become adept at solving complex problems and making data-driven predictions. With the demand for skilled Data Scientists soaring, embarking on this educational journey opens doors to exciting career opportunities and paves the way for groundbreaking advancements in technology and society.

The Certified Data Scientist course offered by DataMites in Indonesia is an industry-oriented certificate that is designed in tune with the best knowledge standards and keeping in mind the long-term objective of helping the asp maintaining 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 Indonesia. It’s a limited time offer. For any further details, you can get in touch with our executives.

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

DESCRIPTION OF DATA SCIENCE COURSE IN INDONESIA

FAQ’S OF DATA SCIENCE TRAINING IN INDONESIA

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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