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Data Analyst Roadmap

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Join Our live claases to learn data science and get the better opportunity in field of data analytics, Data Science, Machine learning, Deep Learning and AI. Data Science is one of the most in-demand jobs of the 21st century. A majority of companies now rely on data science to make informed decisions about their future and create an action plan. This course, a blend of  online learning modules and Live Guidance Sessions , will introduce you to the world of Data Science from  collecting various types of data to storing, pre-processing, analyzing, model building and deploying them with latest Data Science techniques. Syllabus that will be covered-  ➤ Descriptive statistics ➤ Correlation analysis ➤ Regression analysis ➤ One/two-sample t/z test ➤ Independent & paired sample t-test ➤ Analysis of variance/ANOVA ➤ Chi-square tests  ➤ Data cleaning ➤ Hypothesis testing ➤ Time series and Forecasting  Following Tools/Languages will be covered in online class- 1. Python...
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The decision tree Algorithm belongs to the family of supervised machine learning algorithms. It can be used for both a classification problem as well as for regression problem. The goal of this algorithm is to create a model that predicts the value of a target variable, for which the decision tree uses the tree representation to solve the problem in which the leaf node corresponds to a class label and attributes are represented on the internal node of the tree. Lets take the below data example- click here click here click here click here Problem Statement- Now we have to predict which company which job profile and degree have salary more than 100k, Here 1 means 'Yes' and 0 means 'No'. A decesion tree will be created like this- click here We can see google and ABC pharma employees have salaries below and above 100K for different positions while all facebook employees are getting more than 100K Now come to the problem statement- With the help of python we can solve this...
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Python Data analytics Algorithm

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