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SYLLABUS OF DATA SCIENCE COURSE IN COLOMBO

  • 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 COLOMBO

DATA SCIENCE COURSE REVIEWS

ABOUT DATA SCIENTIST TRAINING IN COLOMBO

Data Science is in great demand, for the vast possibilities it has in today’s world. Jobs in Data Science has grown to significant numbers and continues to be an exciting opportunity for the young population across the world. 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.

Colombo is offering huge job opportunities in the field of Data Science, with lots of startups and MNCs making use of the big data potential. According to Indeed.com, the average salary of a Data Scientist in Colombo is LKR 150000 per year. 

The IT sector in Colombo, Sri Lanka, has experienced remarkable growth in recent years. With a skilled workforce and a favorable business environment, the city has become a regional hub for technology and innovation. Colombo boasts over 500 tech companies, employing more than 50,000 professionals. The sector has contributed significantly to the country's economy, accounting for approximately 8% of the GDP. Colombo's IT sector offers diverse services, including software development, IT consulting, and business process outsourcing, making it an attractive destination for both local and international businesses.

The importance of a Data Science course cannot be overstated in today's information-driven world. With the explosive growth of data and the rapid advancements in technology, organizations across all sectors are in dire need of skilled professionals who can extract valuable insights from vast amounts of data. A Data Science course equips individuals with the necessary tools and techniques to navigate this data-rich landscape. From predictive analytics to machine learning algorithms, students gain a deep understanding of how to leverage data to drive strategic decision-making and gain a competitive edge. Moreover, this course fosters critical thinking, problem-solving, and creativity, enabling individuals to unravel complex data puzzles and unlock innovative solutions. Embracing the power of data science is the key to unlocking a world of opportunities and achieving success in the digital era.

The Certified Data Scientist course offered by DataMites in Colombo 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 organizational endeavors. 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 Colombo, Sri Lanka. 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 the Artificial Intelligence courses in Colombo.

DESCRIPTION OF DATA SCIENCE COURSE IN COLOMBO

FAQ’S OF DATA SCIENCE TRAINING IN COLOMBO

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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