Who This Course is For and Why to Take It

WHO:Aspiring Data Scientists to gain foundational knowledge and practical skills needed to start a career in data science.
Working Professionals in Tech to enhance current skills and transition into data-centric roles such as data analyst, data engineer, or machine learning engineer..
Business Professionals to Learn how to leverage data for strategic decision-making, improving business processes, and gaining competitive advantages..
Students to Build a strong foundation in data science, making them well-prepared for advanced studies or entry-level positions in the field.
Researchers and Academics to Utilize data science methodologies to conduct more robust and insightful research across various disciplines..
Entrepreneurs and Startups to Use data-driven approaches to understand market trends, customer behavior, and optimize business strategies.

WHY:Data science is one of the fastest-growing fields, with high demand for skilled professionals across various industries. It is often command lucrative salaries due to the specialized skills required. Skills are applicable in numerous fields such as healthcare, finance, marketing, and technology. Learn to use data to make informed and strategic decisions, enhancing personal or organizational outcomes. Develop critical thinking and problem-solving skills through practical data analysis and modeling. Enhance your career prospects by acquiring skills that are highly valued in today's data-driven world. Gain practical experience with real-world datasets, projects, and tools commonly used in the industry. Connect with peers, instructors, and industry professionals, expanding your professional network. Stay updated with the latest trends, tools, and techniques in data science and machine learning. Understand how data science integrates with other fields, providing a holistic view of its applications and benefits.

Why Angstrom is the top institute

  • Learn from Corporate Trainer
  • Logic Development Class Every Sunday Free
  • How to create your resume
  • How to maintain your LinkedIn / Indeed / Naukri
  • Update your GIT Repo
  • Providing Course wise Assessment only at Angstrom
  • How to represent yourself in interview
  • Doubt Clear classes anytime everyday
  • 100% job assurance
  • Experienced Career Consultant
  • Corporate Syllabus
  • Incomparable Syllabus
  • Learn from MICROSOFT Certified Professional
  • Learn secret step for Campus requirement
  • Real Industrial Application of using MVC
  • Fully Practical and Interactive Session
  • Grooming for Project Demonstration in Campus Interview
  • Weekly Workshop on Respective module for Skill Development
  • Special Guidance for LIVE Project
  • Weekly Online Test for Skill Assessment
  • An Earning and Learning Opportunity to all.
  • SEO Tips, Study Materials
  • Industrial Training from the Leader
  • Interview based Q & A discussion
  • Free Career consultation

Description

INTRODUCTION TO DATA SCIENCE

What is Data Science?

Data Science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. It combines aspects of statistics, computer science, and domain expertise to analyze and interpret complex data.

Course Contents

PYTHON
  • INTRODUCTION
  • OPERATORS
  • DATA TYPES
  • LIST CLASS
  • TUPLE CLASS
  • SET CLASS
  • DICT CLASS
  • STR CLASS
  • MEMORY MANAGEMENT
  • CONTROL STRUCTURE & CONTROL STATEMENT
  • FUNCTION
  • MODULE & PACKAGE
  • FILE HANDLING
  • COMMAND LINE ARGUMENT
  • EXCEPTION HANDLING
  • CLASS & OBJECT
  • DATA MEMBER
  • MEMBER FUNCTION / METHOD
  • CONSTRUCTOR, DESTRUCTOR & GARBAGE COLLECTOR
  • OPERATOR OVERLOADING
  • TYPE CONVERSION
  • RELATION
  • INHERITANCE
  • POLYMORPHISM
  • ABSTRACT METHOD & ABSTRACT CLASS
  • THREADS & MULTI-THREADING
  • DATABASE HANDLING
  • GRAPHICAL USER INTERFACE
  • DATA SCIENCE
  • NUMPY
  • FuzzyWuzzy
  • Pandas
  • Matplotlib
  • Seaborn
  • Nlp
  • Nltk
  • Exploratory Data Analysis
  • Predictive analytic and Segmentation
  • Statistics and probability
  • Linear Algebra
  • Discrete and continuous data
  • Liner regression analysis
  • Logistic regression analysis
  • Feature selection with sklearn
  • Imputation
  • Optimization
  • Data wrangling
  • Data exploration
  • Machine learning algorithm
  • Neural networks
  • Supervised learning
  • Unsupervised learning
  • Data modeling
  • Data model selection and evaluation
  • Stemming
  • . Lemmatization
  • Feature engineering
  • Apriori algorithm
  • Fp Growth
  • K means clustering
  • Db scan
  • Baise Theorm
  • Navi bias classification
  • Random Forest
  • Decision Tree
  • Polynomial Regression
  • Scalar vector machine
  • Image processing
  • Open cv to ratio
  • Bacterial foraging optimization
  • Genetic Algorithm
  • About

    Angstrom is the largest worldwide provider of training and development solutions.

    info@angstromsemiconductor.com

    +91 977-665-5577

    Social Media
    Main Campus

    SBI Building, Plot No: N5/538,

    2nd Floor, IRC Village,

    Nayapalli, Bhubaneswar,

    Odisha 751015