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• Archive: WHAT WILL YOU LEARN?The course provides the entire toolbox you need to become a data scientistFill up your resume with in demand data science skills: Statistical analysis, Python programming with NumPy, pandas, matplotlib, and Seaborn, Advanced statistical analysis, Tableau, Machine Learning with stats models and scikit-learn, Deep learning with TensorFlowImpress interviewers by showing an understanding of the data science fieldLearn how to pre-process dataUnderstand the mathematics behind Machine Learning (an absolute must which other courses don’t teach!)Start coding in Python and learn how to use it for statistical analysisPerform linear and logistic regressions in PythonCarry out cluster and factor analysisBe able to create Machine Learning algorithms in Python, using NumPy, statsmodels and scikit-learnApply your skills to real-life business casesUse state-of-the-art Deep Learning frameworks such as Google’s TensorFlowDevelop a business intuition while coding and solving tasks with big dataUnfold the power of deep neural networksImprove Machine Learning algorithms by studying underfitting, overfitting, training, validation, n-fold cross validation, testing, and how hyperparameters could improve performanceWarm up your fingers as you will be eager to apply everything you have learned here to more and more real-life situationsREQUIREMENT No prior experience is required.
• We will start from the very basicsYou’ll need to install Anaconda.
• We will show you how to do that step by stepMicrosoft Excel 2003, 2010, 2013, 2016, or 365DESCRIPTIONThe ProblemData scientist is one of the best suited professions to thrive this century.
• It is digital, programming-oriented, and analytical.
• Therefore, it comes as no surprise that the demand for data scientists has been surging in the job marketplace.However, supply has been very limited.