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.

Quick Enquiry Form

Our Testimonials

Jayshankar Prasad Singh

I am very pleased to share that I have successfully obtained Program Management Professional (PgMP) Credential in my first attempt. PgMP in 2 months, it is indeed a great journey. I attended PgMP certification training from the Addonskills. Most of my success credit goes to Addonskills team to make it so easy for me. Addon Skills training, question banks, ECO sessions helped me a lot. The training helped me to build my concepts, clarify doubts and understood some of the actions in sequences. I will say Questions from questions banks were very close to exam questions. I highly recommend Addonskills for all kind of project /program management training.

Saumil Purani

Program Manager

I enrolled for PgMP training with AddOn Skills in Sept2016 and cleared my PgMP Certification in first attempt by Jan 2017. AddOn Skills has excellent trainers and very well structured learning approach. Reference material, questions banks etc shared by them were very extremely helpful. From application writing, to exam preparation, trainer guided me on each and every step of the PgMP journey. I thank all support staff and trainers of AddOn Skills to make my PgMP journey memorable.

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.

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.

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