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 Saraf

I would like to express full satisfaction on the training session conducted by M/s Addon Skills Private Limited and wish to put on record the very good take-away. I found the training to be professional and at par with the industry and growing demands of the complexities in the business . The best part of the training was in depth knowledge of the training personnel, presentation skills tailored to all levels of participants, custom-built course materials, dedication & passion of the trainer to make the participants understand the concepts thoroughly. Post training support, question banks, capacity to explain with relevant industrial and domestic examples were added features of the training . I strongly recommend such training session to the Project Management Personnel .

Albert D'costa

Everything that I learnt and practiced about Project & Program Management comes through Addon Skills. Addon Skills provided valuable advice and most importantly acted as a sounding board and wise counselor. Thank you for making an amazing difference to my career!

Shubham Maurya

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Sureshkumar Somanathan

I have attended PgMP virtual session from Addon Skills during Feb end. It was wonderful and their expert trainer explained with real time examples which give a lot of insight on Program management. I would like to thank Addon Skills for their support and direction to clear my PgMP exam. They identified my gaps and asked me to focus the areas which required more attention. Without Addon Skills support and perseverance, it would not be possible for me to clear the exam in 2 months effort.

Nirav Dani

Kailash Upadhyay is a subject matter expert of PgMP and he has in-depth knowledge & practical experience about this subject. His helping nature is the best; he keeps in touch with you post your training and certification. His LinkedIn posts, Telegram group are indeed helpful for knowledge enhancement

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