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Data Science – Intermediate Course

4.5/5

Industry-based projects with real-time completion

Interactive live session and doubt clearing

100% job assistance with interview and placement guidance

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Data Science Intermediate Course Description

An aspiring Data Scientist who already has a basic knowledge of what is Data Science and what all can learn in Data Science does not always need to start off at zero after a break. Anexas’s Data Science Intermediate course brings to you the next level of what you have already learnt and still crave for more knowledge. You will be introduced to SQL, NLP and different statistical NLP techniques in this course.

Data Science Intermediate Course Benefits

Your life will alter drastically if you become a data scientist. The Anexas Intermediate Data Science certification has a number of advantages, including higher income, enhanced skill sets, better job profiles, and influential networks. The following is a list of advantages you will obtain after completing your Anexas course and becoming a certified Data Scientist:
  • Interactive online live training with industry experts.
  • Lifetime dashboard access to course materials.
  • Content-rich study material.
  • Free eBooks with worked out projects.
  • Project guidance
  • Real-time project completion during the training.
  • Participants will be certified by ANEXAS Europe.
  • A soft and hard copy of the certificate.
  • International recognition.
  • Learn from the best trainers.
  • Tools required for the training.
  • Open book online test for certification.
  • 100% Pass rate guaranteed.
  • Lifetime membership to Anexas Alumni group.
  • Get a chance to win cashback benefits.
  • Online Line Customer support 24*7.

100% Job Assistance

Anexas Data Science course comes with 100% job assistance. Learn Data Science with Anexas and advance your career with the most reputed Data Science job roles.

Benefits of Job assistance

  • Get Placement guidance. 
  • Prep Interview skills with real-time industry-based Q&A. 
  • Learn Personality Development. 
  • Fill in any gap years in your experience. 
  • Gain from Anexas Internship program.

Eligibility criteria

  • Complete at least basic and Intermediate level in Data Science course by Anexas. 
  • Fresher or Experienced, anyone can apply. 
  • Programmers or Non-programmers, anyone can apply.

Course Duration

45 Hrs

Certificate

Study Material

Data Science Intermediate Training Options

Online Live Training

  • 45 hours of course completion
  • Live interaction with instant query clarification
  • Continuous project guidance during the sessions
  • Global recognition
  • Trained Data Scientist Certificate (Intermediate) from Anexas Europe
  • Access to learning videos
  • Diverse training batch
  • Flexible timings

Upcoming Batch

Weekday Batch: Contact [email protected]

Weekend Batch: Contact [email protected]

Data Science Intermediate Course Content

  • Naïve Bayes Classifier: Model Assumptions, Probability Estimation
  • Required data processing, M-estimates, Feature selection: Mutual information
  • Random Forest Algo + Implementation
  • Classification using Logistics, K nearest Neighbors
  • Decision Trees: ID4, C4.5, CART
  • Support Vector Machines: Linear Learning Machines and Kernel space, Making Kernels and working in feature space
  • SVM for classification and regression problems.

  • Feature Reduction/Dimensionality reduction
  • Principal components analysis (Eigenvalues, Eigenvectors, Orthogonality)
  • Validation Techniques (Cross-Validations)

  • Bagging & boosting and its impact on bias and variance
  • C5.0 boosting
  • Gradient Boosting Machines and XGBoost

  • Build Dataset from large database
  • SQL queries & Protocol Building
  • Creating Feature Store using SQL
  • in-Depth PostgreSQL

  • Introduction to NLP
  • Preprocessing, NLP Tokenization, stop words, normalization, stemming and lemmatization
  • Preprocessing in NLP Bag of words, TF-IDF as features
  • Language model probabilistic models, n-gram model and channel model
  • Hands-on NLTK
  • Word2vec
  • Golve
  • POS Tagger
  • NER
  • POS with NLTK
  • Gensim
  • TF-IDF with NLTK

  • Introduction to sequential models
  • Introduction to RNN
  • Intro to LSTM
  • LSTM backprop through time
  • Hands-on Keras LSTM
  • Sentiment Analysis
  • Sentence generation
  • Machine translation
  • Advanced LSTM structures
  • Keras- Machine Translation
  • Encoder decoder with attention
  • Encoder-Decoder - Auto Encoder
  • Understanding transformers
  • Attention Models Intuitions
  • Introduction to BERT
  • GPT
  • Chatbot -handson

Enquiry Form

Data Science Intermediate FAQ

Our comprehensive course will provide you with a deep understanding of Data Science and cover various aspects of this field. By the end of the course, you will gain the skills to effectively prepare and analyze data, create impactful data visualizations, and develop data models. Expand your knowledge and capabilities in Data Science with us.

  • Total 7 years of experience in Data Science, Machine Learning, Deep Learning & Application Development.
  • Contributed to 46+ Patents for different countries (US, China, Europe)
  • Published research paper at the National Library of Medicine.
  • Currently a mentor at the University of Texas at Austin.
  • Serving as Senior Data Scientist.

  • High demand
  • Infinite career opportunities
  • Highest pay due to high exigency
  • Recruited by top companies
  • Flexibility to switch domains
  • Opportunity to pursue self-career

Data Science is a highly lucrative career option, with Data Scientists earning an average of $114,000 USD in the United States and 900,000 INR in India annually, as per recent research. Explore a range of rewarding job roles in the field:  

  • Data Scientist 
  • Python Programmer 
  • Machine Learning Engineer 
  • Data Analyst 
  • Data Engineer

Our comprehensive course will provide you with a deep understanding of Data Science and cover various aspects of this field. By the end of the course, you will gain the skills to effectively prepare and analyze data, create impactful data visualizations, and develop data models. Expand your knowledge and capabilities in Data Science with us.

Yes! Our training fees cover all associated costs, including certification, examination, study materials, and tools/software expenses. There are no additional charges, ensuring a hassle-free learning experience for you.

At Anexas, we provide convenient payment options to suit your preference. Choose from the following methods:  

  • Card Payment 
  • Net Banking 
  • Cash

Cancellation Policy:

If a delegate cancels the training 72 hours prior to the scheduled start, an administration fee of 10% will be deducted from the refund. However, if the cancellation occurs after this timeframe, no refund will be provided.  

Rescheduling Option: 

Once the payment is made, delegates have the flexibility to postpone their training date and join another batch at no extra cost. We aim to accommodate your schedule and ensure a seamless learning experience.

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