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data-science-bootcamp

Data Science Bootcamp

data-science-bootcamp data-science-bootcamp 315 Google reviews 57 students enrolled
  • Comprehensive curriculum - Exhaustive and strategic training coordinated with continuously evolving statistical & data modelling techniques. It teaches Maths, Stats, R, Python, ML, Hadoop, Spark & many more.
  • Continuous upgradation
  • Portfolio of real world projects
  • Create online profile for industry
  • Career assistance
  • Access to free resources
Data Science Bootcamp View Course Schedule

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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

Santosh Deshpande

When it comes to anything related to Project/Program Management there are loads of commentators that talk a lot, but Addon Skills help you make it happen in reality. They have enabled me, coached me and given me the confidence to step into PgMP after completion of my PMP Certification. The course material covered a lot of information, delivered in concise chunks that were easy to absorb. The structure was clear, logical and effective. Kailash has obviously put a lot of thought and expertise into designing it.

Mangesh Kakade

I took the PgMP course with AddonSkill to enhance my Program Management skills on my present job. AddonSkill drives for result by providing personal level engagement, indebt knowledge sharing, practical experience/ applications sharing for major cross vertical industries helped to enhance my professional potential. I recommend AddonSkill to everyone as they are really very professional organization and serving the project management community.

Akhil Sharma

I have attained the PgMP preparation training course from Addon Skills and found it very useful and extremely good learning experience. Trainer has enriched knowledge on PMI fundamentals and beauty of training is that, they mainly focus on the basic fundamentals & make the entire training so valuable by sharing enrich experience and mapping it towards Program Management Standards. I have gone through many trainings in my professional carrier, but I will not hesitate to say that he is one of the best training I have ever attended in my life which has also helped me attained PgMP certification. Thanks, Akhil

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.

Venkatramnath Vyasarayani

Recently, I undertook training program with Addon Skills in Program Management to build and equip skills to appear for PgMP certification. I have sixteen plus years of experience in IT and have been attending several training courses, I am not so very easily impressed, reserved with my praise, and do not usually complete surveys. But, Addon Skills and its instructor Kailash Upadhyay were excellent, his knowledge combined with his experience on the subject could be rated as one among the "best in the industry" and certainly the best experience I had so far. His passion towards the subject, and the concern he had for the attendees taking training were impeccable. The best part was that the course does not stop with training, but post training , Addon Skills set up technical discussion forum, built and shared very good study materials, videos, trail question banks, couple with many sample scenarios, these clubbed with availability of trainer for any questions gives the extra advantage and make you feel comfortable that you are not left alone. Kailash with his knowledge had seamlessly walked all of us (my training batch mates) through the breadth of information even though it was remote environment. He did a fabulous job pacing everything and addressing all the questions/queries raised by the participants. I bet my 10cents on Addon Skills and its Trainer Kailash U, Addon Skills is my GoTo place for any of the management training, consultations for setting up or transforming your program to success.

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