Diploma in Data Science with AI ML

Eligibility: BE, B.Tech, ME, M.Tech

Intermediate

Overview

Data Science Course with Placement Guarantee

Description

Best Data Science Course With Placement Guarantee

Cranes Varsity offers a Data Science Course With Placement Guarantee. You will learn how to use Python, SQL, and R for data science. This course will teach you how to analyze and interpret data, create models and develop machine learning algorithms for big data.

The Placement Oriented Program on Data Science and AI/ML (Artificial Intelligence/Machine Learning) at Cranes Varsity is a comprehensive and industry-focused training program that equips students with the skills and knowledge required to excel in the rapidly growing field of data science and AI/ML. With a strong emphasis on practical training and industry relevance, this program prepares students for successful careers in data-driven industries.

The curriculum of the program covers a wide range of topics related to data science, AI, and machine learning, including data exploration and visualization, statistical analysis, predictive modeling, deep learning, and Tableau.  Students receive hands-on training on popular data science and AI/ML tools and frameworks, enabling them to develop proficiency in analyzing complex data sets and building AI/ML models. The program also incorporates real-world projects and case studies, allowing students to gain practical experience in solving data-driven problems.

Why Choose Cranes Varsity for Data Science Course?

Cranes Varsity recognizes the importance of industry collaboration in the data science and AI/ML domain. As such, the institute has established strong partnerships with leading technology companies and industry experts. This collaboration facilitates guest lectures, workshops, and industry visits, providing students with exposure to the latest trends and technologies in the field. It also opens doors to internship opportunities and potential job placements.

To enhance students’ employability, the program also focuses on developing essential soft skills, such as communication, critical thinking, and problem-solving. Students receive guidance on resume building, interview preparation, and career counseling, ensuring they are well-prepared for the job market. The dedicated placement cell at Cranes Varsity assists students in connecting with industry recruiters and organizing placement drives, maximizing their chances of securing lucrative job offers in top data science and AI/ML companies.

By enrolling in the Placement Oriented Program on Data Science and AI/ML, students gain a strong foundation in data science and AI/ML concepts, along with practical experience and industry exposure. This program prepares them for roles such as data scientist, AI/ML engineer, business analyst, or data engineer. With a focus on practical training, industry collaboration, and job placement, this program equips students with the skills they need to thrive in the dynamic and evolving field of data science and AI/ML.

Cranes Varsity offers a Data Science Course With Placement Guarantee. You will learn how to use Python, SQL, and R for data science. This course will teach you how to analyze and interpret data, create models and develop machine learning algorithms for big data.

POP in Data Science is designed to cater to graduate engineering students, students in their final year, and also to the Working professionals from any domain.

Data Science course is split into several modules, learners will go through these modules stage by stage with regular assessments. Modules covered include basic and advanced, Python programming, Database management with SQL, statistics and mathematics, Data analysis using TABLEAU, Machine Learning, Deep learning, and very popular Natural Language processing, and also the course includes several capstone projects.

Candidates completing the data science course will get placement opportunities from various industries, such as Information Technology, Automotive companies, Banking, Professional consulting firms, healthcare companies, and many more.

Our Data Science Course is designed by industry experts who have helped thousands of people like you land the job they deserve. You won’t find a more effective or affordable way to start your career in data science than with us!

Data Science Course Modules

Generic
  • RDBMS using MySQL
  • Python for Data Science
Analytics Specialization
  • Foundational Statistics
  • Exploratory Data Analysis using Pandas
  • Data Analysis and Visualization using Tableau
Data Science Specialization
  • Foundational Machine Learning
  • Data Analysis and Visualization Using Excel
  • Advanced Python and Unit Testing.
  • Advanced Machine Learning and Model Improvement
  • Deep Learning
  • Capstone Project
Projects:
  • Apply statistical methods to make decision in various business problems, including bank, stock market etc.,
  • Apply regression to predict future flight price
  • Apply classification to classify customer
  • Use clustering to cluster banking customers
  • Computer vision projects like Face recognition, Image Quality Improvement etc.
Platform:
  • Anaconda Distribution Jupyter, Spyder, MySQL
  • Tableau, Excel Tkinter

Data Science Course Content

Generic:

Control Flow

  • Relational Operators
  • if…else statement
  • if…elif…else statement
  • Logical operators
  • While Loops
  • break and continue statement
  • Loops with else statement
  • pass statement
  • Python for loop
  • Range Function

Lists

  • Creating List
  • Accessing elements from List
  • Inserting and Deleting Elements from List
  • List Slicing
  • Joining two lists
  • Repeating sequence
  • Nested List
  • Built-in List Methods and Functions
  • Searching elements in List
  • Sorting elements of List
  • Implementing Stack using List
  • Implementing Queue using List
  • Shallow and Deep copy
  • List Comprehensions
  • Conditionals on Comprehensions

Functions

  • Defining Functions in Python
  • Function Argument
  • Single Parameter Functions
  • Function Returning single Values
  • Functions with multiple parameter
  • Function that return Multiple Values
  • Functions with Default arguments
  • Named arguments
  • Scope and Lifetime of Variables
  • global specifier
  • Functional programming    tools:     map(), reduce() and filter()
  • Lambda: short Anonymous functions
  • Creating and importing modules
  • Programming Examples & Assignments
  • Recursion

Python Data Structures

  • Python Set
  • Creating Set
  • Adding/Removing elements to/from set
  • Python Set Operations : Union, Intersection, Difference and Symmetric Difference
  • Python Tuple
  • Creating Tuple
  • Understanding Difference between Tuple and List
  • Accessing Elements in Tuple
  • Python Dictionary
  • Creating Dictionary
  • Accessing / Changing / Deleting Elements in Dictionary
  • Built-in Dictionary Methods and Functions

Exception Handling

  • Understand Exception
  • Handling exception
  • try and except blocks
  • multiple except blocks for a single try block
  • finally block
  • Raising exceptions using raise

File Handling

  • Introduction to File handling
  • File opening modes
  • Reading data from file
  • Writing data to file

Object Oriented Programming

  • Creating Class
  • Creating Objects
  • Method Invocation
  • Understanding special methods
  •    init     method
  •    del     method
  •    str     method
  • Operator Overloading
  • Overloading arithmetic operators
  • Overloading relational operators
  • Inheritance

Module 1 – Data Analysis and Visulization

  • NumPy
  • Vectorized
  • Operation
  • Subsetting
  • Matrix Calculation

Pandas

  • Pandas Series
  • Pandas Dataframe
  • Importing Data

Data cleaning with pandas

  • Data Cleaning
  • Handling Missing Data

Matplotlib

  • Creating graphs using Matplotlib
  • Customizing Plots
  • Saving Plots

Module 2-Machine Learning

  • Understand what is Machine Learning
  • Supervised Learning
  • Unsupervised Learning

Introduction to Regression

  • Regression
  • Linear Regression with Single Variable
  • Multiple Linear Regression

Training Data Set

  • Training and Testing Data
  • Handling Categorical Data
  • K-Fold Cross Validation

Logistic Regression

  • Classification
  • Logistic Regression – Binary classification
  • Logistic Regression – Multiclass classification

Decision Tree

  • Decision Tree Classifier
  • Support Vector Machine
  • KNN Classifier

  • Python project development based onmatplotlib&pandas.
  • Python project development based onNumpy.

Core Programming:

Analytics Specialization:

Data Science Specialization:

Hiring Partners

FAQs

The course is split into sub-modules, students have to complete each module test, and also mock and placement tests will be conducted frequently.

Data Science and Machine Learning Course Program are available in both Online and offline modes, students can choose depending on their convenience.

Yes, Machine Learning engineers are in huge demand in almost every industry, having certification will get you higher opportunities in this highly in-demand and high-paying domain.

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Duration: 5 months (At Cranes Varsity) 240hrs (At College Premises)
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