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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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.

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There are very few training organization around whose key interest is making sure that their students are not just aiming for the certification but knowledge as well and Addon Skills is one of them. Their Industry Expert trainer hounds his team to make sure everyone studies and give priority to their studies and certification and is available literally 24*7 to respond to any queries one might have. Can not think of anyone else when planning my next skill upgrade than Addon Skills!

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.

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