Data Science Master Class -Internship
Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from noisy, structured and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains.
Intern Fees : Rs.999/-
Batch Starts: 20 Jan 2022
Duration : 30 Days
With 7+ Projects Source Code
Learn to develop 10 Projects in Data Science Engineering Internship. Pantech will help you develop all this listed 10+ Projects in Data Science Engineering with PANTECH MENTOR.
Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and
insights from noisy, structured and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains.
Build and scale AI with trust and transparency to drive digital transformation, deliver personalized customer experiences and make more data-backed decisions.
Develop & Refine your Employability Skills with Internships
Join as Interns, Learn and practice with LIVE projects and enhance your employability skills to be Industry Ready. Technical Internships with Assisted Learning & Core Application Practices
- Organised Content
- Mentor Assisted Learning
- Hands on Experience
- Assignments & Projects
- 17 Yrs Experience Sharing
- Forum Support
- 30+ Hours of Learning
- University Recognised APSSDC Certification
- Curriculum Designed by Academicians & Industry personels
- Learn while you Do! Learn by Practising!
- 10+ Development Projects
- Mentor Assisted Learning
- Access to Records & Video Contents
- Presentation and the Codes – Downloadable
- Options to Learn at your own pace
- Community Forums – Doubts Clarification & Knowledge Sharing
IoT is not just a technology Initiative anymore
Organizations implementing IoT are increasingly focusing on the bsiness outcomes of the technology. IoT Initiatives are no longer driven by the sole purpose of internal operational improvement. IT and business stakeholders must work together to align IoT Projects with business objectives for improving revenue and customer experience, but they are bound by legacy approaches. Organizations with high levels of IoT maturity achieve higher rates of success in their IoT adoption. With the Organisations moving towards Internet of Things, it is essential to know the how on the IoT Concepts and Implementations to stand out from the rest. The Expert Predictions estimate more than to 21 billion IoT devices by 2025. With the AI getting bigger, intervention of smart cities and Smart Cars. IoT is definitely to be the next roll over.
Learning path of any learning concept is rather very important, as it is the way through which the learning process is enabled. This IoT Master class is designed to make the participant learn from the scratch and master the concepts with ease.
- Python for Data Science and advance Programming
- Libraries : Excel, Statistics, Pandas, Numpy, Matplotlib, Seaborn and Sklearn
- Python – Data Aggregation, Tokenization, Visualization, Statistical Analysis.
- Tools – Tableau and Power -Bi.
- Industry Projects – House Price Prediction, Customer Segmentation, Spam Classification and More.
What You Will Learn!
Day -1 : Python for Data
Science (5 Solved end-to-end Data Science Projects in Python)
Day -2: Advanced Python Programming
Day -3: Pandas Library – Introduction
Day -4: Pandas Library – Data Structures
Day -5: Numpy library – Array Operations | Mathematical Functions
Day -6: Numpy – Sort, Search and Counting Functions
Day -7: Matplotlib , Histogram Using Matplotlib | I/O With Numpy
Day -8: Matplotlib Library – Introduction , Pyplot API | Types Of Plots
Day -9: Seaborn Library
Day -10: SKLearn Library
Day -11: Google Colab Notebook
Day -12: Python – Date and Time, Data Wrangling
Day -13: Python – Data Aggregation
Day -14: Python – Word Tokenization , Stemming and Lammetization
Day -15: Python – Data Visualization
Day -16: Python – Statistical Analysis
Day -17: Python – Types Of Distribution
Day -18: Python – Correlation ,Chi-Square Test , Linear Regression
Day -19: Tableau – Introduction and Tools
Day -20: Tableau – Data Sources , Worksheets
Day -21: Spatial Data Science For Covid-19 Disease Prediction
Day -22: Power-BI – Introduction, Installation Steps and Architecture
Day -23: Power-BI – Data Modelling , Visualization Options | Excel Integration
Day -24: Parkinson’s Disease Prediction – XG Boost Classifier
Day -25: House Price Prediction using Random Forest Regression
Day -26: Customer Segmentation Using ML – K-Means Clustering
Day -27: Home Loan Prediction using Decision Tree Classifier
Day -28: Spam Classification using NLP
Day -29: Hand Written Digit Recognition Using CNN
Day -30: Churn Prediction using Deep Learning
Internship Take Ways – Assignments, Projects, Certifications
- Enhanced Knowledge Transfer
- Guided / Mentored Assignments
- Recognized Internship Certifications
- Resume Building Recommendations
- Professional Networking
- Downloads – PPTs & Project Files
- 2 Months Access to Recorded Sessions
- Certificate Downloads on Immediate
Happened to complete my course on Machine Learning. Excellent course for people who start in the machine learning field. It covers the necessary basics that you can continue to study by yourself in the future. Concept and workflow are really well. I do highly recommend this course for any new ML starter.
Yash GhatgeBharati Vidyapeeth College Of Engineering
Training was excellent with good interaction. Knowledge sharing is good. Recording facility is excellent for revising. Course was practically and informative. Valuable experiences in online learning.
Anilet BalaSRM Institute of Science and Technology
Very nicely organised program. Many concepts are very clear after attending these sessions. Thank you team Pantech for making it a practical training program.
ManjulaUniversity of Calicut
What is Data Science?
Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from noisy, structured and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains
What are the Importance of Data Science?
The principal purpose of Data Science is to find patterns within data. It uses various statistical techniques to analyze and draw insights from the data. From data extraction, wrangling and pre-processing, a Data Scientist must scrutinize the data thoroughly.
Software Tools used in Data Science?
TensorFlow, Jupyter, Tableau, Excel, Scikit-learn, NLTK Matplotlib, PowerBI.
How we can Access the Recorded Sessions?
Day Wise Lessons will be uploaded and you can access from the LMS - https://www.pantechelearning.com/lp-profile/ with your registered account.
Venue and Duration of the Internship?
Internship is on Online Mode. Recorded sessions with illustrative combination of theory and practice will enhance the user learning experience.
Certificate for the Internship?
Yes, Its a Certified Internship and Certified by Pantech eLearning and APSSDC. Certificate can download from your account - https://www.pantechelearning.com/lp-profile/ once you complete the Internship.