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Data Science

  • 2 Months - 5hrs/week*
  • Beginners / Intermediate
  • Overview
  • Curriculum
  • Certification
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Description

By providing thoroughly examined and current training programmes in Data Science, Tri Up collaborates directly with corporations as knowledge partners to assist them in creating outstanding teams and workforces. All of the technology programmes are customized to meet the unique needs of an organization because we are aware that every applicant and professional will have a unique history, size, location, and sector. Tri Up provides in-person and online training options to reach as many students as possible.

PreRequisites

  • Any Fresher or Experienced willing to learn.
  • Any Working Professional looking for career up skill.
  • Any Non-It Professionals looking for career change.
  • Any Degree Holders.

WHAT YOU’LL GET IN THIS COURSE

By taking the Python Full Stack course you will learn below things.

  • Gain a solid understanding of Python's fundamentals.
  • Develop robust back-end systems with Python frameworks like Django and Flask.
  • Integrate databases and manage data using SQL and ORM frameworks.
  • Deploy Python web applications on servers and leverage containerization with Docker.
  • Make your applications secure by implementing authentication measures.
  • Collaboration and real-world projects will provide you with practical experience.
  • Maintainable and scalable applications are developed according to industry best practices.

CARRER OPTIONS IN Data Science

Data Scientist

Data Scientist

Data scientists are professionals who leverage their expertise in data analysis, machine learning, and statistical modeling to extract valuable insights from complex datasets. They play a critical role in helping organizations make data-driven decisions, develop predictive models, and uncover hidden patterns that drive innovation and business growth.

Machine learning engineer

ML Engineer

Machine learning engineers are specialists in building and deploying machine learning models and algorithms. They work on developing scalable, efficient, and high-performance machine learning systems that power applications across various domains, from recommendation engines to natural language processing.

Business Analyst

Business Analyst

Business analysts bridge the gap between technology and business objectives. They evaluate processes, gather requirements, and propose solutions to improve efficiency and profitability. Business analysts are instrumental in aligning IT projects with organizational goals.

Data Analyst

Data Analyst

Data analysts are skilled in interpreting and analyzing data to extract valuable insights. They clean, transform, and visualize data, helping organizations make informed decisions. Data analysts play a crucial role in identifying trends, patterns, and opportunities within datasets.

  • PROGRAMMING WITH PYTHON
    Introduction to programming language
    Python Real time IDEs
    Python file Extention
    Command line Arguments
    Directory Collection
    Files in Python
    Data and time Module
    Python Pandas
  • STATISTICS
    Descriptive Statistics
    Inferencial Statistics
    Hypothesis Testing
    Regression Analysis
  • SQL WITH MYSQL
    Introduction to SQL
    Commands in SQL
    Working with DRL
    SQL Function
    Integrity Constraints
    Triggers
    Joins
    Sub Queries
    Indexes
  • MACHINE LEARNING
    Introduction to Machine Learning
    Exploratory Data Analysis(EDA)
    Data Pre-Processing
    Logistic Regration
    Ordinal Regration
    Support vector Machine
    Decision Tree
    Random Forest
    Bagging And Boosting
    Time Series Analysis
    Features Engineering
  • NATURAL LANGUAGE PROCESSING
    Basics Natura Language Processing
    Machine Learning Modeling
    Word Net and Synsets
    Transformation Models-BERT
    LSTM Model-RNN
    Corpus
  • DEEP LEARNING
    Deep Learning Introduction
    Artificial Neural Network
    Optimization Techniques
    Recurrent Neural Network
    Convolution Neural Network
    Auto Encoders
    TensorFlow
  • INTRODUCTION TABLEAU
    Introduction TABLEAU
    Field Types and Visual cues
    Data Connection In TABLEAU Interface
    Special Field Types
    TABLEAU Granted Fields
    Chart Types
    Calculations Creating And Using Parameters
    Mapping
    Statistics
    Dashboards

Program in Collaboration with Vyunex

certificate

Vyunex is a global visionary specializing in Development, Cloud & Data and are industry leaders in the entire life cycle management of in-demand technologies. Our presence is worldwide as we support our clients who come from contrasting backgrounds and with unique business requirements.

Benefits for students from this Vyunex collaboration:

  • Industry-recognized certification
  • Real time Projects
  • Placement Assistance upon successful course completion

Enquiry Form

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₹30,000

This course includes:
  • 150.5 hours on-demand video
  • 16 downloadable resources
  • Full lifetime access
  • Access on mobile
  • Certificate of completion
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Please check terms and conditions before payment
Register Now - ₹24,000
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