Description

The course will cover data science ranging from basic python to advanced natural language processing. It's more aligned towards industrial applications rather than focusing on pure statistics. After the completion of the course, the student will be able to successfully compete in Kaggle competitions and will be able to build a profile strong enough to apply for a data science job.

This is an instructor-led course with an average batch size of 20 students. In the 45 hours of Online Live training, you will get both the theoretical and practical knowledge needed to build the necessary skills. The trainer’s holistic approach is stemmed to meet the long-term needs of the student and hence they provide 100% job/placement assistance with the option of seeking a trial class before the enrolment.

What Will I Learn?

  • You will learn Python Basic like Variable Types and  Basic Operators
  • Numpy fundamental scientific computing, Pandas – data manipulation and analysis and Data frame manipulation

Specifications

  • Free Demo
  • Interactive Learning
  • Missed Class Recovery
  • Instalment Facility

Python Basic Tutorial

  • Python - Basic Syntax
  • Python - Variable Types
  • Python - Basic Operators
  • Python - Decision Making
  • Python - Loops
  • Python - Numbers
  • Python - Strings
  • Python - Lists
  • Python - Tuples
  • Python - Dictionary
  • Python - Date & Time
  • Python - Functions
  • Python - Modules
  • Python - Files I/O
  • Python – Exceptions
  • Python - Classes/Objects(introduction)
  • Python - Reg Expressions(introduction)
  • 1 Project

 

Data Analytics course: (Includes basic Python, the exclusion is optional)

  • Numpy fundamental scientific computing.
  • Pandas – data manipulation and analysis.
  • Matplotlib – plotting and visualization.
  • Scikit-learn – machine learning and data mining. (Introduction)
  • Importing Datasets
  • Cleaning the Data
  • Data frame manipulation
  • Summarizing the Data
  • Building machine learning Regression models
  • Building data pipelines
  • 1 Project

 

Machine learning Course: (Includes basic Python and Data analytics, the exclusion is optional)

  • data collection
  • data sorting
  • algorithm development
  • checking algorithm-generated
  • the use of an algorithm to further conclusions
  • Supervised Learning
  • Decision trees
  • Support-vector machine
  • linear regression
  • Ensemble Techniques
  • Other major algorithms
  • 2 Projects

 

Deep Learning: (Inclusion of machine learning and basics is optional)

  • ANN
  • CNN
  • LSTM
  • BiLSTM
  • Keras
  • Ktrain (introductory)

 

Domain-Specific courses: (Each of the below-mentioned courses is inclusive of the deep learning course)

  • Image processing:
    • Image classification
    • Live face detection
    • Object detection
    • 1 Project
  • NLP
    • Spacy
    • Binary text classification
    • Multiclass text classification
    • Multilabel text classification
    • Sequence to sequence modelling
    • Named entity recognition
    • Intent classification
    • 1 Project

Mr.Sanyam Jain

The trainer is a Data Scientist involved in product-based research particularly in implementing NLP into Map GIS-based systems. 

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Batch Start Date End Date Timings Batch Type
Batch 1 08-03-2021 07-04-2021 Sat-Sun 10:00 AM-12:30 PM Weekend
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Description

The course will cover data science ranging from basic python to advanced natural language processing. It's more aligned towards industrial applications rather than focusing on pure statistics. After the completion of the course, the student will be able to successfully compete in Kaggle competitions and will be able to build a profile strong enough to apply for a data science job.

This is an instructor-led course with an average batch size of 20 students. In the 45 hours of Online Live training, you will get both the theoretical and practical knowledge needed to build the necessary skills. The trainer’s holistic approach is stemmed to meet the long-term needs of the student and hence they provide 100% job/placement assistance with the option of seeking a trial class before the enrolment.

What Will I Learn?

  • You will learn Python Basic like Variable Types and  Basic Operators
  • Numpy fundamental scientific computing, Pandas – data manipulation and analysis and Data frame manipulation

Specifications

  • Free Demo
  • Interactive Learning
  • Missed Class Recovery
  • Instalment Facility
₹70,000 ₹ 70,000

Hurry up!! Limited seats only

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