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.

Brijesh Nair

PgMP certified on 26th October 2018. "Addon Skills" is highly professional training institute & they really have a structured methodological approach of course delivery, which facilitates each & every participant to achieve the goal & objective of PgMP Certification in short span of time (2-3 months) successfully. Training Program helps to develop deep understanding & greater Insights of the Program Management Concepts, provide reference to SPM v4 & ECO Clauses, Practical Case Studies & Examples, Mock Tests, Post training support sessions, Application Writing Sessions, etc. Regular feedback sessions to ensure the candidate has really understood & absorbed the concept explained is the essence of the training program. Kailash is strongly determined, dedicated & devoted to his job of delivering the training to the best possible extent. Regular follow-ups by Addon Skills on the overall progress of learning of candidate & pushing the candidates to take the extra mile in their busy schedule is really appreciated!! The 'Live Chat Service' on WhatsApp for clarification of doubts answered by expert trainers instantaneously is exemplary service offered!! Last but not the least, it’s worth enrolling for the training program!!

Abdul Kareem

PgMP® Certification Training from Addon Skills was rich in content with classical examples & individual focus. Added to it was the brain storming sessions on sample questionnaire& reasoning, a boon for the leaders aspiring for the coveted certification. Thanks Kailash for all your guidance & knowledge inflicted upon us.

Balakrishna Raju

I am greatly pleased to share that I have successfully obtained Program Management Professional (PgMP) Credential!! Without Addon Skills this journey wouldn’t have been possible. Special thanks to Addon Skills team for the guidance/support throughout the process, you made it to so easy for me to pass the exam. Addon Skill Training material and notes helped Big time for fundamentals of Program management. Question banks with explanation were very helpful in gaining the thorough understanding of all domains. Question bank is very close to the exam question.

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.

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