POP in Data Science and Machine Learning
Intermediate
Overview
Data Science Course with Placement Guarantee
Description
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!
Course Modules
Generic
- RDBMS using MySQL
- Python for Data Science
- Advanced Python (Testing and Web Scraping)
- Exploratory Data Analysis using Pandas
Data Science Specialization
- Mathematics and Statistics for Data Science
- Machine Learning using sklearn
- Machine Learning model Improvement
- Deep Learning using Tensor Flow
- Data Analysis and Visualization using Tableau
- Natural Language Processing
Projects
- Sales forecasting with Machine Learning
- Stock market predictions with LSTM
- Automatic Number plate recognition using opencv
- Image deblurring using Deep Learning
Platform
- Anaconda Distribution Jupyter, Spyder
- Tableau, Google Colab
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
Placement Statistics
FAQs
How will I be evaluated during the Data Science Course?
The course is split into sub-modules, students have to complete each module test, and also mock and placement tests will be conducted frequently.
What are the mode of delivery of the Data Science and Machine Learning program?
Data Science and Machine Learning Course Program are available in both Online and offline modes, students can choose depending on their convenience.
Are Machine Learning Certificates worth it?
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.
Testimonials
First of all, I would like to extend my thanks to each and every member of Cranes Varsity. We were taught from the very basics of Embedded Systems Design which made it easier for students from all levels. I would like to extend my vote of thanks to cranes varsity to provide me with numerous opportunities.
Cranes are one of the top embedded training institutes in Bangalore. It has been a wonderful learning experience in Cranes Varsity. The training in every module of embedded systems at Cranes was effective. It provides a good platform for embedded systems. Cranes helped me get a job in the embedded industry.
It was a great experience in Cranes. My dream was to get into the embedded domain. As a fresher, it is difficult to get into the Embedded Design field, but Cranes made a huge difference in my career by giving the best training and placement assistance provided by Cranes. I would like to say Cranes is the best to choose for those who dream of embedded opportunity.
I take this opportunity to thank “CRANES VARSITY”, one of the best-embedded training institutes which are helping students to get into the best company to build their career. I thank all the trainers who enhanced my knowledge in every subject and the placement team for giving me the best opportunities in the field of embedded. Thank you for all your support.
Cranes varsity is the best Embedded Training Institute to learn both practical and theoretical knowledge. It is the best place to gear up your career in a core embedded industry. Management and faculty member support till you get placed. They provided lots of opportunities to me. The embedded Course modules that we learnt here are systematic, and I immensely earned great knowledge.
I am happy for Cranes for giving a platform and providing opportunities for attending the interview. Modules test, Mock test really helps to clear any company written test/ interview. Trainers were excellent at explaining and clarifying the doubts. I am very thankful to Cranes Varsity.
Cranes varsity is the best platform to improve your technical skills in Embedded System Design. Their dedication towards teaching modules and interaction with the students is commendable, which made me achieve good skills for my career growth in the electronics/semiconductor industry.
Happy to say that I am placed in Lekha Wireless. Cranes are one of the best Embedded Training Institutes. The way of teaching in Cranes is good. I thank the management and faculty for the guidance and opportunity.
If not Cranes, I would have been doing a job of not my interest and passion. Cranes provided me with the platform to start my career and knowledge about corporate life and requirements. “Thank you, Cranes” would be an understatement.
Ankita Saigal
Placed in Robert Bosch
Santhosh SM
Placed in L&T Technology
Mayur MN
Placed in L&T Technology
Chandru V
Placed in Avin Systems
Hemanth Kumar
Placed in Caravel Info Systems
Ankit Ahalawat
Placed in AK Aerotek Software
Nithin G
Placed in Moschip Semiconductor
Amitha Pankaj
Placed in Lekha Wireless
Sidharth S
Placed in L&T Technology
