Internship in Data Science and Machine Learning
Intermediate
Overview
Data Science Internship
Description
Data science became the most in-demand skill-set of the 21st century due to the increased amount of data generated by the online users and collecting same by most the companies, as data collected by these companies has to be utilized effectively to scale up the business, the need fora skilled data scientist is very high. The internship program in data science by cranes varsity provides the interns with a varied skill-set for one to master him/her self in the domain of data science.
During the internship program, the interns will get good exposure to Python programming concepts, Machine learning techniques and will also learn about the Project life cycle of data science. These skill-sets are learned to enable our interns to stand out during the interview process and can expect better job opportunities. Data Science is a very popular field and there are a ton of companies looking for people with this skill set. To give you just one example, we have over 700 open positions right now on our own platform, and that’s just one company!
Data Science Course Modules:
- Python Programming
- Advanced Python and Unit Testing
- Data Analysis & Visualization
- Machine Learning using SKlearn
- Tableau
- Cloud Computing
Placement Support:
Guaranteed Placement is available at the cranes’ campus for those who complete the training successfully.
Course Content:
Advanced Python ( Testing and Web scraping) – 24 hours
- Object Oriented Programming
- Overloading Operator
- Inheritance
- Multiprocessing
- Multi-threading
- Creating Thread
- Argument Passing to thread
- Sharing data between threads
- Race Condition
- Regular Expression
- Finding Patterns of Text
- Meta characters
- Testing Fundamentals
- Unit Testing
- Working with JSON
Exploratory Data Analysis with Pandas- 40 hours
- NumPy Vectorization
- Broadcasting
- Slicing of Matrices
- Filtering
- Array Creation Functions
- NumPy Functions across axis
- Stacking of arrays
- Matrix Calculation
- Pandas Series
- Data Cleaning
- Handling Missing Data
- Pandas Data frame
- Selection Data (loc, iloc)
- Filtering Data Frames
- Working with Categorical Data
- Grouping & Aggregation
- Merging Data Frame (concat, merge)
- Sorting Data Frames
- Importing csv files
- Importing Excel Files
- Creating graphs using Matplotlib
- Customizing Plots
- Saving Plots
- Scatter Plot, Line Graph
- Bar Graph, Histogram
- Subplots
- Seaborn
- Matplotlib
Machine Learning Using SK-Learn – 80 hours
- Understand what is Machine Learning
- Regression
- Naive Bayed Classification
- Supervised machine learning
- Simple linear regression Decision tress and its types
- Unsupervised machine learning Multiple linear regression
- K Nearest Neighbour Classification
- Data Preprocessing
- Performance measure for regression
- Performance Measure for Classification
- Handling missing data
- MSE, R-Squared, MAE, SSE
- Accuracy, Recall, Precision,
- Fmeasure
- Onehot Encoding
- Feature selection for Regression
- Clustering and types
- Label encoding ML Workflow for project implementation
- Kmeans Clustering
- Ordinal, frequency encoding
- Classification
- Evaluate clustering results, Elbow Plot
- Standardization and normalization
- Various types of classification
- Hierarchical clustering
- Train test split the data
- Binomial and Bayes theorem
- K fold cross validation
- Logistic regression
Deep Learning using Tensor Flow – 64 hours
- What is Deep Learning
- Performance measure for ANN
- Building project based on CNN
- Deep Learning Methods Need for Hardware’s in Deep learning
- Need for Data augmentation
- Deep Learning Application
- Basics of image processing
- Batch Normalization, dropout
- Artificial Neural Network
- Opencv library
- Object detection with CNN
- Hidden Layers
- Image reading, writing, enhancement
- Object recognition with CNN
- Activation Function
- Edge detection, filtering, morphology
- Transfer Learning
- Forward and Backward propagation
- CNN for computer vision
- Restnet, ImageNet.
- Deep Learning Libraries CNN architecture
- Introduction RNN, LSTM
- Tensor flow, pytorch, Keras
- Various types of CNN
- Project Implementation With CNN
Projects
- Predicting Home Prices
- Predicting Credit Card Approvals
Placement Statistics
FAQs
Is cranes Varsity training available online?
Yes, Cranes Varsity training is available through online
How does online training work?
Our Online training is Instructor-Led live online sessions
Do you provide training course material?
Yes, we will provide training course material for each module
Do you offer weekend classes?
Yes, we offer weekend classes as well evening classes.
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
