data-science-with-python

Data Science with Python

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

Python has a very simple grammar and hence easier for everyone to pick up the language quickly. It is an all-round language for web, desktop, embedded programming for applications in machine learning, deep learning, IoT etc. It's an added advantage for professionals to learn Python along with R

This course introduces the students with fundamentals and advanced level of Python programming, installing Anaconda, programming basics, data types, list, tuples, dictionary, controls, loops, Numpy, Pandas, functions, importing & scraping data, and visualization. Once, students are conversant with Python, a detailed study of data science which includes data mining & machine learning, starts. Machine Learning covers linear & generalized linear models, KNN, Naïve Bayes, Tree based models, SVM, K-means, Association rule, performance measures, dimension reduction techniques, randomization, cross validation, bootstrapping, ROC & AUC, and confusion matrix.  

This course prepares on the practical applications of Machine Learning algorithms & techniques using Python. 


  • Installing Anaconda, installing libraries using “pip” and “conda”, programming basics, data types, list, tuples, dictionary, sets, numpy & pandas, slicing & dicing, controls, loops, and functions 
  • Packages:

                + Data pre-processing – detection & correction of missing data (imputation), outliers, errors etc 

                + Importing / Web scraping .

                + Manipulating data .

                + Visualization using matplotlib, seaborn, bokeh, bgplot, plotly, ggpy, altair, chaco.

                + Modelling data using scikit-learn package .

                + Report & result using ipython .

                + Project using Python and Machine Learning concepts

  • Basic knowledge of Linear Algebra, Calculus, Statistics, and Probability 
  • Knowledge of basics of programming

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Our Testimonials

Milind Karandikar

Passed my PgMP certification exam. I have attended PgMP training conducted by PMI Mumbai Chapter and Addonskills in the month of September and it was really good and helpful to understand Program Management. As mentor/instructor you are too good Kailash. I liked your study material and the way you discussed minor things as well as explained and clarified the whatever doubts & queries we had raised during the session. I liked your confidence level and involvement towards us for exam preparation to become PgMP certified. I'll definitely recommend other Addonskills as a perfect place for PMP and PgMP training.

Shubham Maurya

asdsad

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.

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.

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.

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