Course Includes:
- Duration: 4 Months
- Modules Covered: 23
- Batch: Mon-Fri
- Language: English
- Certificate: Yes
DATA SCIENCE WITH MACHINE LEARNING PROGRAM
Accelerate your Skill in Data Science Courses
Start your learning in Data Science courses with the help of analytics tools and techniques.
Beginners Data Science Course in Proitbridge.
Everyone has considered how to select the best data science training centre for learning. You have a lot of choices and options to pick from, but how? You will study the success of trained students from them, in that Proitbridge is the best platform to learn the "Data Science Courses."
- Gain the Potential for knowledge
- Best Professionalist
- High-level Techniques for Teaching
- Live-sessions
- Prepared Timing
- 100% Job placement support
Data Science Advanced Courses In Online
Learn the advanced data science and improve your understanding with the best Academy of Proitbridge in Bangalore. It's a Parallel of knowledge in deep learning, data processing, data exploration, and learning mathematical basics for increasing your skills. It contains massive characteristics like frameworks, algorithms, technologies, and more.
Stages of Modules to Improve the Excellence
The courses include a total of 16 modules with entire parts and sessions. Each stage explains Advance Data Science and its advantages, mainly the Proitbridge Mentors are calculus your skills and provide caliber training. The courses run with your caliber and completing with the certification.
- The course building and designing will undertake complete sessions.
- Students can build end-to-end scalable processes of learning.
- Obtaining details skills and hands-to-hand sources at your convenient time.
- Wide usage of technologies.
- It covers the massive points in module format so students can understand subjects deeply.
- Balancing the courses with both theory and practical concepts.
- Gain the impacts with the mentors and training.
- Fetch the knowledge with the experts taught and communicate.
Retaining a Basic Learning of Data Science
This beginner Data Science Courses Proitbridge covers blended learning concepts, like the fundamentals of Pythons, machine learning techniques, algorithms, business acumen, mathematics, and hidden patterns and data. Learning is a profound comprehension of the knowledge of power, not just an element. Our courses provide instrumental skills.
Components of Data Science in Proitbridge
Data Science is the art of learning with the modern technology of Science methodology with the extraction and analysis of enriching ideas and relevant sources to outcome your skills. Our Data Science beginner syllabus is generally about the perception of Fundamentals, Statistics, Machine Learning, and Python -
- Each subject will provide appropriate instruction while covering the programmed module.
- rab the top-paying skills in Data science with professionals.
- The data syllabus structure is extensive, and it includes an extended curriculum.
- Hold multiple advanced tools - Python, more functions, and data structure.
- Each algorithm concept and tool taught will help for a clear understanding.
- You can examine market data using information learning.
- Multiple options to understand business and career growth.
- Easily apply theoretical ideas to business issues.
- You use statistical approaches to analyze, visualize, and predict the data.
FUNDAMENTALS
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Introduction to Types of Analytics
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Project life cycle
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An introduction to our E learning platform
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Python Basics
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Python Functions and Packages
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Working with Data Structures, Arrays & Data Frames
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Jupyter Notebook – Installation & Function
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Working with OOPS
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Good programming practices (testing, debugging, assertions, exception handling)
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Get familiar with functional programming and its use cases
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Working with Data Structures, Arrays & Data Frames
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Understand the concepts of Object-Oriented Programming (Inheritance, encapsulation)
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Pandas
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NumPy
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Matplotlib
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Seaborn
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Plotly
STATISTICS
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Data Types
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Measure Of Central Tendency
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Measures of Dispersion
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Graphical Techniques
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Skewness & Kurtosis
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Box Plot
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Descriptive Statistics
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Random Variable and Probability
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Normal Distribution
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Probability Distribution
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Introduction to Hypothesis Testing
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Statistical Tests Case Studies
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A/B Testing
INTRODUCTION TO MACHINE LEARNING
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Linear Regression
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Multiple Variable Linear Regression
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Logistic Regression
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Decision Trees
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K-means Clustering
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Using Streamlit for Model Deployment
DEEP DIVE INTO MACHINE LEARNING
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Linear Regression
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Multiple Variable Linear Regression
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Logistic Regression
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Naive Bayes Classifiers
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K-NN Classification
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Support Vector Machines
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Decision Trees
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Bagging
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Random Forests
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Boosting
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K-means Clustering
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Hierarchical Clustering
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DBSCAN
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Dimension Reduction-PCA, t-SNE
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Feature engineering
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Model selection and tuning
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Model performance measures
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Regularizing Linear models
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ML pipeline
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Bootstrap sampling
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Grid search CV
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Randomized search CV
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K fold cross-validation
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Introduction to Recommendation Systems
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Popularity based model
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Content based Recommendation System
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Collaborative Filtering (User similarity & Item similarity)
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Hybrid Models
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What is Market Basket / Affinity Analysis
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Measure of association
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Support
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Confidence
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Lift Ratio
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Apriori Algorithm
MACHINE LEARNING PROJECTS
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Why streamlit?
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Installation guide ,Hello Streamlit
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Text Elements(title, header, sub-header, caption, text, code, write)
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Data display elements like data frame, table, metrics
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Media elements
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Display chart elements
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Widgets, SlideBar
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Controlflow
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Progress bar
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Status messages and others
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Data caching
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Implementation of Simple Calculator app
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From Business Understanding to Web Application Deployment Using Streamlit API
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Basic of Flask
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Paths of a website
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Basic of HTML tags, input tag, buttons, forms, etc..
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Render Template
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Requests: Request..methods, Request..Form
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User defined functions in Flask
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Taking data from back and sending it to front
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From Business Understanding to Web Application Deployment Using Flask API
CAREER GUIDANCE
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Market awareness
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Job Roles and Responsibility Awareness
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Resume Preparation
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Projects Presentation
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Business Presentations
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Email Writing
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Soft skills at the Job Front
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Up to 2 Mock Interviews (Until Placed)
ADDITIONAL ASSISTANCE
Tools Used
Prominent Data Science Job Roles
Career Opportunities for the Data Scientist Beginners. Explore your path with the different platforms with extended programming skills.
Data Analyst
Data Scientist
ML Engineer
OUR ALUMNI'S WORK AT
Who Can Apply for a Beginner Data Science Course?
Career Opportunities for the Data Scientist Beginners. Explore your path with the different platforms with extended programming skills.
Bachelor's Degree.
IT professionals to transition scoop
Interested Person in Data Science
Developers and Project managers
Aiming for an IT career
Best platform for freshers to build their track
FAQ
The field of Data Science captures the combination of multi-methods and technologies in programming. It operates in Large to Small organizations in multi-exploration.
It performs extensively in data analysis, data manipulation, and visualization mainly; it holds the advantages of libraries, ideal languages, rapid development, object-oriented programing, dynamic semantics, and high-level programming.
- Excellent quality of online classes
- Best professionals teaching
- Live Sessions
- Industry projects sessions
- Cutting-edge tools
- 100% supportive system until placement
Our Beginner Data Science course is a complete certification you have hopped mastering the domain.
It is the future professional career. In 2021 and 2022, the job rate is increasing above four million. You can choose a career under the data category Data Analyst, Data Scientist, ML Analyst or Engineer or Scientist, AI Analyst or Engineer, AI/ML Developer, Business Intelligence Analyst, Deep Learning Engineer, or Data Visualization Specialist.