data-science-bootcamp

Data Science Bootcamp

OUR ALUMNAE

Ashish Shah PfMP results
Ashish Shah PfMP results
Ashish Shah PfMP results
Ashish Shah PfMP results
Ashish Shah PfMP results
Ashish Shah PfMP results
Ashish Shah PfMP results
Ashish Shah PfMP results
Ashish Shah PfMP results

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DESCRIPTION

Level I - In this program students are taught Math, Stats, and basic Programming skills to bring all to same level.

Level II – Students undergo beginner and intermediate level of training on R, Python, and Data Visualization. A project work using each of these technologies through Polyglot approach.

Level III – Students undergo high level of training on Data Mining concepts, and Statistical Modelling.

Level IV – A thorough and detailed study of Machine Learning concepts and models using both R & Python simultaneously, again using Polyglot approach.

Level V - Hadoop, Spark, NoSQL, Kafka, Pig, Hive, Sqoop, Flume.

Level VI – Project work. A student can work on 5 projects which will be reviewed by peers, and industry experts.

Data Science in 24 weeks classroom training

Exhaustive and strategic training coordinated with continuously evolving statistical & data modelling techniques.

A comprehensive curriculum

It teaches Maths, Stats, R, Python, ML, Hadoop, Spark & many more. 

Continuous upgradation

Curriculum is continuously updated and drawn from engagement with industr y consultations and partnerships. 

A portfolio of real world projects

Each one gets to create a personal portfolio of multiple projects.

Create online profile for industry

  • Participate in Kaggle competitions.
  • Create own Github account and repository.

Career assistance

Get personalised assistance through soft skills, mock interviews, networking, and interview calls.

Access to free resources

  • Get access to repository of books, white papers.
  • Free access to Data camp for brushing up R & Python.
[Math & Stats] Week 1, 2 & 3 : Statistics, Probability, Linear Algebra - Vectors, Matrix, Calculus, Derivatives, Integration, Limits, Log, and Trigonometry. Basics of algorithm and data structures. Introduction to Linux, Git, Kaggle. Level I.

[R] Week 4 & 5 : Learning R – Installing R studio, programming basics, features, data types, vectors, matrices, controls, loops, functions, packages, importing data, visualization, packages . Level II. Project due.

[Python] Week 6 & 7 : Learning Python – Installing Anaconda, programming basics, data types, list, tuples, dictionary, controls, loops, Numpy, Pandas, functions, importing & scraping data, and visualization. Level II. Project due.

[Data Mining, Statistical Modelling] Week 8 & 9 : Data types, pre-processing, data warehousing, Regression, Supervised & Unsupervised patterns & mining, classification – trees, Bayes, backpropagation, SVM, KNN, Rough set, Fuzzy set, Clustering – K-means, Kmedoids. Outlier detection – Statistical methods, Proximity based methods, and clustering methods. Level III. Written exam due.

[Data Science (Machine Learning) with R] Week 10 & 11 : Installing packages, datasets, foundation of statistics in R, missingness & imputations, Supervised Learning – regressions (Simple & multiple regressions), generalized regression, classifications (KNN, Decision Tree, Random Forest, Bagging & Boosting, SVM, Pruning/ GINI/Entropy), Feature Engineering / Preprocessing, Unsupervised Learning / Clustering – K-means, Hierarchical, Agglomerative), Dimensionality handling – Rigde & Lasso regression, Cross Validation, Bias/Variance Tradeoff, Principal Component Analysis. Level IV.
Project due

[Natural Language Processing with R] Week 12 : Introduction to NLP, corpus, stemming & chunking, Naïve Bayes, Association rule, Text classification, Case studies. Level IV. Project due

[Data Science (Machine Learning) with Python] Week 13 & 14 : Scikit learn, Stats module, Simple & multiple linear regression, Classification – Logistic regression, discriminant analysis, Naïve Bayes, SVM, decision Tree, Random Forest; Model Selection – Cross Validation, Bootstrap, Feature selection, Regularization, Grid search; Unsupervised Learning – Principal Component Analysis, Kmeans and Hierarchical clustering. Level IV. Project due.

[Big Data – Hadoop, Spark, Kafka, Pig, Sqoop, Flume & tools] Week 15 & 16 : Hadoop, HDFS, Mapreduce, Apache Hive, Spark, Spark MLib. Level V. Project due

[Deep Learning using TensorFlow] Week 17 : TensorFlow using Python. Level V. Project due.

[Overview – Tableau, IoT, Cloud, Excel, Timeseries] Week 18 : Hands-on Tableau for visualization, Introduction to IoT & Cloud, Study on Timeseries using R. Level V.

[Projects] Weeks 19 to 24 : Retail Analytics, HR Analytics, Market Research, Text Analytics and one project of choice (Recommender Engine, Disaster monitoring through social media, Skin Cancer image processing, Sentiment / News Analysis). Level VI.

Interview preparation :

  • Online profile creation & improvement – Github, Kaggle, LinkedIn 
  • Resume review and updating as per industry needs
  • Soft skill sessions for personality development & grooming 
  • Mock interviews and workshops

1st round : We will arrange 3 interviews with organizations working on analytics. 

2nd round : Those unsuccessful in 1st round, will be placed in our sister concern / partner companies with stipend for 3 months.

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Our Testimonials

Sanjeev Kumar

Big thanks to Addon Skills Team for the tremendous support provided during my certification journey of 3 months. This was the best training I have ever attended. You guys managed to build up my confidence and knowledge from Day 1 of Training to the day I went for exam :) which has resulted to pass the exam so smoothly in First attempt itself. Thanks for all your guidance and coaching, without your support my this journey wouldn’t have been possible.

Lalit Sharma

The faculties are excellent and have a great knowledge of the content. Also, I think they are very helpful and approachable and even after the training sessions are completed, they have helped us greatly in preparing for PMP. I recommend Addon Skills for anyone looking for training in professional certifications.

Jyothi Parampalli

Happy to have earned Program Management Professional (PgMP) Certification in my maiden attempt and all credit goes to Addon Skills! I was a student of AddonSkills from 4th Nov '17 and the coaching provided by them gave me enough confidence to appear and clear the exam within two months i.e. on 8th Jan '18. The study materials, question banks & joint session to solve them, sessions around ECO and additional Q&A discussions in the WhatsApp group all contributed towards getting my Program Management concepts strong. The examples were relevant and provided right insight into understanding the scenarios to apply program management best practices.

Nitin Rai

Addon Skills sheer committment anf focused approach toward each and every aspirant ensures every aspirant achieve their goal. I must say their overall training approach, study materials, question bank, post training support helped me alot in my journey of PgMP certification. Best part of joining your course is that you will get introduced to multiple aspirant who have same goal as you and interaction with same group help you to not only clear your doubt and query but also stay motivated and focused for exam, Also the process of un-learn few of our way of doing things and re-learn few new things as per PMI way. This is where your help comes very handy. Lastly, I want to wish all the very best to all PgMP aspirant.

Ramesh Potnis

I got acquainted with Addon Skills during my PgMP journey. I could successfully clear this not so easy examination on my first attempt. Addon Skills has very effective style of imparting training which helps the participants / students not only to strengthen their concept but also to prepare from examination point of view. Their study material is very handy to refer especially when your exam date is nearing. Addon Skills, unlike other training organization, keeps in constant touch with their students, ensures that they are on their targeted to path to march towards their goal of certification and guides them whenever and wherever required. I strongly recommend all PgMP aspirants to enroll for Addon Skills training sessions. It will surely help.

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