Introduction of data science
Data Science involves extracting practicable insights from raw data. Various scientific methods, algorithms, and processes are used to extract insights from the wide range of data. Data Science provides a vast set of tools for working with data coming from a variety of different sources, such as financial logs, multimedia files, marketing forms, sensors, and text files. An important facet of Data Science is the composition of data for analysis, including cleaning, aggregating, and manipulating it to perform advanced analyses.
Brillica Services provides the best complete data science course in Dehradun, Uttarakhand and Delhi.
Data Science : Machine Learning
Possibly, the most popular data science strategies come from machine learning. What differentiates machine learning from other computer guided decision processes is that it builds prognostic algorithms using data. Some of the most popular products which use machine learning includes the handwriting readers implemented by the postal service, speech recognition, movie recommendation systems, and spam detectors. In this course, part of our Professional Certificate Training Course in Data Science, you will learn popular machine learning algorithms, principal component analysis, and regularization by building a movie recommendation system. You will also learn about training data, and how to use a set of data to discover certainly predictive relationships.
Data science subjects
If you are planning to pursue a course in Data Science, it is essential for you to know what are some of the subjects those will be essential for your experience of learning and fundamentals for your understanding of the course. So, here is the list of Data Science subjects:
- Introduction and Importance of Data Science
- Statistics
- Information Visualisation
- Data Mining, Data Structures, and Data Manipulation
- Algorithms used in Machine Learning
- Data Scientist Roles and Responsibilities
- Data Acquisition and Data Science Life Cycle
- Deploying Recommender Systems on Real-World Data Sets
- Experimentation, Evaluation and Project Deployment Tools
- Predictive Analytics and Segmentation using Clustering
- Applied Mathematics and Informatics
- Working on Data Mining, Data Structures, and Data Manipulation
- Big Data Fundamentals and Hadoop Integration with R
Data science for all
Brillica Services provides the best Data Science course for all IT graduates including BBA, MBA, BCA, BCOM with placement. We provide the opportunities for all working with live Data Science projects in Dehradun, Uttarakhand and Delhi. Brillica Services provides the best project based online and offline training courses with the team of certified trainers with industry experience in Dehradun, Uttarakhand and Dehradun. Brillica Services provides the best opportunities for working professionals to learn in online sessions with the best trainers live. Brillica Services provides 100% JOB ASSISTANCE guarantee to all the students. Brillica Services have more than 300 students placed in the field of Data Science.
Data science certificate programs
Data Science certification is provided by IBM, Google, Microsoft. All these programs are highly demanded in the industry with lot of job opportunities in Data Science domain. Brillica Services provides the best project based Data Science certificate programs in Dehradun, Uttarakhand and Delhi.
Practical data science
Learn through the real-life industry projects, more than 600 live projects, sponsored by top companies across industries. Here may be a list of six data science projects which will boost your resume:
- Sentiment Analysis: Sentiment analysis may be a method want to analyse the opinion of targeted customers on a selected product or service offered by the corporate. It is utilized in companies to check the likeability of their products or services.
- Detecting Parkinson's Disease: Talking about Parkinson's disease, it is an old-age related health issue where people lose the control of their body parts. The problem lately detection are often tackled with data science. This project helps to notify people those are likely to point out the symptoms of this disease and deliver improved health services.
- Detection of Fake News: This model uses a TF-IDF Vectorizer which separates rare vs commonly used words and a Passive-Aggressive Classifier to distinguish the news as real or fake.
- Next word prediction: Working on data science projects contains the liberty to make predictive models. This is also observed when one uses Google Docs, Mail, WhatsApp, or maybe the Google search bar; they use the technique of predicting subsequent word or phrase by customising the suggestions after every typed word.
- Movie Recommender: To execute this project, the inputs of the viewers who saw the movie first are going to be collected, then their responses are going to be classified.
- Customer Segmentation: Businesses are always open to find and conceive ways to segment their consumers. Segmentation is must for ensuring the perception of customer-specific strategies for creating a product or service which will work for them.
Engage in collaborative projects with student-mentor interaction. Benefit by learning in-person with expert mentors. We will also provide feedback on successful submission of projects.
Data science course for working professionals
Brillica Services offers multiple job opportunities for Data Science course for working professionals as we provide the best live online and offline classes with the best certified trainers with industry relevant experience.
Statistics for data science course
This is one of the best courses to learn the Data Science coding and fundamentals of Statistics. In this course, you'll learn to efficiently analyze data, formulate hypotheses, and usually reason about what the large set of knowledge is telling you. This Data Science coding course will also teach you how to plot different types of data and fundamentals like calculating correlation and covariance and calculating measures of central tendency, asymmetry, variability, etc. Statistics mean the gathering and analysis of numerical data to seek out the knowledge and patterns necessary to know the behaviour of a selected population. There are some vital concepts in statistics that you simply must learn if you would like to become a knowledge scientist. A list of the topics of statistics that you should know:
- Basic Probability Theory
- Random Variables
- Expectation
- Random Processes
- Convergence of Random Processes
- Descriptive Statistics
- Frequent Statistics
- Bayesian Statistics
- Hypothesis Testing
- Linear Regression
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