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

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.

William Guevara

Training at Addon Skill is such amazing one. I have done it the PgMP and quality is very high. I am happy to announce that I passed PMI PgMP certification in my first attempt because of their great study materials and post training support. I must say, the exam simulation tool is really good which test the readiness toward exam. Thanks to these reasons I highly recommend that the PgMP aspirants take into account Addon Skills coaching as an excellent option to succeed in the process.

Chirag Kapadia

I have attended Portfolio Management Professional (PfMP) certification training from Addon Skills and Mr. Kailash Upadhyay delivered the training. I must say the training made every concept cleared. Not just the training but the mock test and post-training Videos from Addon Skills really helped in this certification journey. The best part of engaging with Addon Skills is the “Telegram” group access where aspiring professionals discuss their doubts and clarifies their assumptions about the concept. I am thankful to Addon skills for the training as this was a major contributor in achieving this certification and becoming one of the first 900 PfMP certified professionals in the world.

Satya Jayanti

PfMP training provided by Mr. Kailash from Addon Skills was very good and had provided a good value add for my preparation towards the certification. He was very knowledgeable and knows exactly how to communicate and keep the training engaged. Also, the support provided by him for the Application process did add a great value. Happy to be part of this training group.

Smita Ojha

I recently availed the services of Addon Skills for preparing for Program Management certification and was highly impressed by the knowledge of the trainer and the dedication of the team . Kailash Upadhyay - Trainer/Coach is a certified professional with years of experience and that was evident by the kind of examples and scenarios he presented during the training sessionssessions to simplify the concepts and lead the thought process to the PMI way of thinking. The training sessions were well structured and as an Addon Skill member you also get access to the Study material and Practice questions which help you in refreshing and testing your knowledge after the training is over as well. I found Kailash to be dedicated towards the success of his students and really appreciate the way he encouraged and ensured participation from the team over the virtual sessions. I look forward to leverage his expertise for the certification and wish Addon skills good luck in their journey to become a trusted leader in providing Training and other certification related services. If highly recommend Addon Skills as a Go To institute for trainings and PMI certification related services. It is not often that you see such a dedicated team who will support you and your journey with such zeal and passion. Thank you Addon Skills.

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