Full Stack Data Science

Full Stack Data Science


Data science is a field of applied mathematics and statistics that provides useful information based on large amounts of complex data or big data. Data science, or data-driven science, combines aspects of different fields with the aid of computation to interpret reams of data for decision-making purposes. You will learn the essential concepts of Python Programming and gain in-depth knowledge of data analytics, machine learning, data Visualization & web scraping. Python is a required skill for many data science positions, so jumpstart your career with this interactive, hands-on, Data Science with Python course.


Duration : 06 Month Eligibility : Bachelor’s Degree with a minimum of 50% or equivalent passing marks.

How this course will benefit you?

• Gain an in-depth understanding of data science processes, data wrangling, data ex- ploration, data visualization, hypothesis building and the basics of statistics

• Understand the essential concepts of Python programming such as data types, tu-ples, lists, dicts, basic operators, and functions

• Perform high-level mathematical computations using the NumPy and SciPy packages and their large library of mathematical functions

• Perform data analysis and manipulation using data structures and tools provided in the Pandas package

• Gain an in-depth understanding of supervised learning and unsupervised learning models such as linear regression, logistic regression, clustering, dimensionality re-duction, K-NN, and pipeline

• Use the matplotlib library of Python for data visualization

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Why Choose Beyond Engineering Designs?

Industry-Driven Expertise:

Our training programs are designed to align with the fast- paced technological landscape. Learn from experienced professionals who impart practical insights and skills directly applicable to real-world challenges in embedded systems, mechanical design, and software development.

Empowering Tomorrow's Innovators:

We are more than just a training institute; we are a dynamic hub that empowers dreamers and visionaries to engineer extraordinary solutions for tomorrow's world. Our mission is to equip you with the tools and knowledge needed to thrive in this ever evolving field.

Hands-On Learning:

Theory alone isn't enough. Our hands-on learning approach al- lows you to actively engage with real-world projects and innovative challenges, enhancing your problem-solving skills and deepening your understanding of concepts.

Industry Titans as Mentors:

Learn from the best in the field! Our mentors are indus- try titans with extensive experience and a proven track record of success. They share valuable insights and best practices, offering a holistic perspective beyond textbooks.

Customized Learning Journey:

Tailor your learning journey to match your interests and goals. Whether you want to specialize in embedded systems, dive into mechanical design, or master software development, we have courses to match your ambitions.

Career-Focused Approach:

Your success is our priority. Our robust job assistance program provides guidance in building an impactful resume, honing interview skills, and connecting you with industry partners to jumpstart your career.

Cutting-Edge Labs and Technology:

Innovation requires access to cutting-edge tools and technology. Our state of-the-art labs offer the latest resources for you to experiment, explore, and develop your ideas.

Proven Track Record:

We take pride in transforming the passion for technology into successful careers. Our numerous success stories are a testament to the impact our training has on learners like you.

About this course


Data science is a field of applied mathematics and statistics that provides useful information based on large amounts of complex data or big data. Data science, or data-driven science, combines aspects of different fields with the aid of computation to interpret reams of data for decision-making purposes. You will learn the essential concepts of Python Programming and gain in-depth knowledge of data analytics, machine learning, data Visualization & web scraping. Python is a required skill for many data science positions, so jumpstart your career with this interactive, hands-on, Data Science with Python course.


Syllabus

Module 1: Introduction to Data Science

  • Selecting rows/observations
  • Rounding Number
  • Selecting columns/fields
  • Merging data
  • Data aggregation
  • Data mining techniques
  • Module 2: Introduction to Python

  • What is Python?
  • Why Python?
  • Installing Python
  • Python IDEs
  • Jupiter Notebook Overview
  • Module 3: Python Basics

  • Python Basic Data types
  • Lists
  • Slicing
  • IF statements
  • Loops
  • Dictionaries
  • Tuples
  • Functions
  • Array
  • Selection by position & Labels
  • Module 4: Python Packages

  • Pandas
  • Numpy
  • Mat-plot library
  • Sci-kit Learn
  • Module 5: Importing Data

  • Reading CSV files
  • Saving in Python data
  • Loading Python data objects
  • Writing data to CSV file
  • Module 6: Manipulating Data

  • Selecting rows/observations
  • Rounding Number
  • Selecting columns/fields
  • Merging data
  • Data aggregation
  • Data mining techniques
  • Module 7: Statistics Basics

  • Central Tendency
  • Probability Basics
  • Standard Deviation
  • Bias variance Tradeoff
  • Distance metrics
  • Outlier analysis
  • Missing Value treatment
  • Correlation
  • Module 8: Error Metrics

  • Classification
  • Regression
  • Module 9: Machine Learning

  • Supervised Learning
  • Unsupervised Learning
  • SVM
  • SVM Kernal
  • Other Machine Learning Algorithms
  • Deep Learning Algorithms
  • Introduction to NLP
  • Module 10: Database

  • Introduction to database
  • Retrieve Data using the SQL SELECT Statement
  • Learn to Restrict and Sort Data
  • Usage of Single-Row Functions to Customize Output
  • Aggregate Data Using the Group Functions
  • Display Data from Multiple Tables Using Joins
  • Data Manipulation Statements
  • Use of DDL Statements to Create and Manage Tables
  • Module 11: PowerBI

  • Introduction
  • The Power BI Desktop
  • Clean, Transform, and Load Data in Power BI.
  • Designing a Data Model in Power BI.
  • Create Measures using DAX in Power BI.
  • Optimize Model Performance.
  • Create Reports.
  • Create Dashboards.
  • Create Paginated Reports in Power BI.
  • Power BI query Editor.
  • Perform Advanced Analytics.
  • Create and Manage Workspaces.
  • Manage Datasets in Power BI.
  • Row-level Security.
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    Top Skills and Tools covered:

  • Advanced Excel
  • SQL
  • PowerBI
  • NumPy
  • Pandas
  • Python
  • Jupyter
  • Machine Learning
  • Matplotlib
  • Scikit-Learn
  • Placement Activity:

  • Working on industrial Project and review by industry expert on Saturday-Sunday
  • Exam after every module
  • Mock Interview by Industry Experts
  • Session for corporate working environment
  • Mail writing ,PPT presentation and use of excel
  • Resume preparation and Communication skill training
  • Personality development sessions