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

Manali Khimasia

Attending Addon Skills PgMP certification course gave me a lot of confidence for attempting the exam and I successfully cleared the exam on my first attempt. The course material was thorough and all important concepts were explained in detail during the 3 days training. The best part about Addon Skills was that the training was not limited to 3 day classroom session. Another 10 online sessions were conducted to discuss questions and clear doubts. We were also provided with videos, question banks and highlights of important concepts and likely questions from SPMv3. Besides, Kailash personally reviewed each of our applications multiple times and gave valuable feedback for improvements till it was ready for submission. I strongly recommend Addon Skills for professional certification preparation courses since they provide complete guidance and support till the date you take your certification exam.

Ganesh Vishwasrao

Addon Skills PgMP training honed my Program Management skills and enhanced knowledge in much deeper sense. Training truly focussed on strengthening of fundamentals including but not limited to each & every minor aspects of Program Management. The study material, mentorship, Q&A Sessions, support for application writing were extra-ordinary. I strongly recommend Addon Skills to all PMP, PgMP, PfMP aspirants as well as all Corporates for Project Management trainings.

Noor Shaikh

I have attended the PgMP training from Addon Skills in the month of February 2017.Trainers are highly professionals who share deep knowledge in the subject with the real time experience which helped me to understand the program management concept. Even after the completion of course they followup on study, guidance on exam form filling and the approach to solve the questions is commendable. Addon Skills boosted moral every time when I felt low in confidence. I recommend Addon Skills to those who aspire to become PMP or PgMP or PfMP certified because they are the best. Thanks a ton, Addon Skills for your instructions and guidance. Your training was absolutely the reason I was able to master this material so fast and pass PgMP exam.

Nikhil Tayade

I am very happy to announce that I have passed the PgMP certification on 7th May. This was a journey with tremendous learning experience.Detailed 3 day training session from Addon Skills, Question Bank from Addon Skills, and Continuous on-going support via WhatsApp virtual discussion room created by them were really the things that made this Giant and herculean task look simple. I am thankful to Addon skills for the training as this was a major contributor in achieving this certification.

Ravi MSR

I passed PgMP exam on 12th June 2018. I contacted #AddOnSkills for help. Their Question-Answer sessions clarified many of the concepts. Those sessions were really helpful to get enough boost to face the exam with confidence. Continuous support to clarify any doubts via WhatsApp group, and skype sessions were available all time.

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