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

INSTRUCTOR LED TRAINING IN

DATE TIME COURSE TYPE PRICE

No Training available

{{ training.From_Date }} - {{ training.To_Date }}

{{ training.From_Date }}

(1 Days) ({{ training.Training_Week_Type }})

({{ training.DCount }} Days) ({{ training.Training_Week_Type }})

{{ training.From_Time }} - {{ training.To_Time }}

{{ training.Currency_Type }} {{ training.Price }}.00

{{ training.Currency_Type }} {{ training.Price }}.00

{{ training.Currency_Type }} {{ training.Offer_Price }}.00

valid till: {{ training.Valid_Date }}

ENROLL NOW ENROLL NOW

TRAINING DATE

 

  • {{ dat.Date | days }}

    {{ dat.Date | mdate }}

TRAINER

VENUE

{{ training.Venue }}
View More Batches View Less

Can't find convenient schedule? Let Us Know

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

Sanjay Dhawas

I had an opportunity to attend PgMP Boot Camp organized by Addon Skills and PMI Pune Deccan chapter. This training was not only instrumental in me being able to clear the PgMP exam with flying colors but also to have gained immense knowledge on the subject. The relentless work ethics demonstrated by Addon Skills is unparalleled. They have been constantly motivating & supporting throughout my journey of certification. I highly recommend them for PMP/PgMP/PfMP and other Project Management certifications. Thank you Addon Skills!!!

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.

Dr. Chandramouli Subramanian

Attended Pfmp training by Addon skills, Mr. Kailash in the month of Oct 2020. it was a wonderful experience refreshing PPP concepts. He is passionate about explaining all doubts in detail. value delivered clearly aligned with the stated and unstated goals. He reinforced all important points. His tips on how to fill application was a value Added: He took the entire training concisely. I recommend this to all portfolio managers.

Paritosh Chandorkar

Training was really very intense and delivery was excellent. Kailas Sir always had his grip over the training.This training gave an insight into the Program management as well as the PgMP exam.The very nature of the training being interactive made the participants,including me,to be alert all the time.

Vinit Menon

Thanks for the excellent training on PMP. The concepts and processes was clearly explained by Kailash. He was very disciplined and more focused on trainees efforts to understand PMP instead of finishing the workshop as soon as possible. I would recommend kailash for PMP training for those who are interested in PMP training.

View Similar Courses

Big Data and Hadoop

Big Data and Hadoop

READ MORE
DevOps Training

DevOps Training

READ MORE
Fundamentals of Data Science

Fundamentals of Data Science

READ MORE
Data Science with R

Data Science with R

READ MORE
Data Science with Python

Data Science with Python

READ MORE