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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...

What is Data Science Definitions, flow charts and articles about “what is data science” sometimes cause confusion.  It is okay, and there are many aspects of data science. If a person learns every aspect of data science, they will likely forget many aspects within a week. The data science field is very vast, and you need skills and experience to be called a proficient data scientist. The experience one requires to be  domain-oriented.    Click Here To Know More   Fill The Query Form   We are glad to live in a world full of information. You can have the freedom to learn whatever you want.. However, in data science, you must know the reason for choosing it as a career. When your reason is strong enough, and you face any setbacks or challenges, it will keep you on track. Another important task before stepping into data science is knowing which domain you want to grow your expertise in. Fill The Query Form   Fill The Query Form   Fill The Query Form ...

Data Analysis Algorithm Step By Step(EDA) - Import The Library - Below are the libraries we need to import before analysing or loading the dataset. Pandas is very powerful library and everyone who wants to analyse data must learn python pandas. Seaborn, Matplotlib are used for visualising the dataset. There are few more python libraries to visualize the data but seaborn and matplotlib are widely used.    Click Here Exploratory Data Analysis(EDA)- 👉 Click Here Exploratory data analysis is a method of analysing and visualizing the data before modeling. It's nearly impossible to see the data columns and decide the important correlation and features of dataset. EDA have been made to complete this tediuos task Import Dataset - To import dataset pandas library is used. Below codes are required as per type of dataset. Mostly in industry either the dataset is in form of excel or in csv or data is importing from mysql db. It's possible you need to export the data from MYSQL,...

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  GroupBy is a  powerful and versatile function  in Python. It allows you to split your data into separate groups to perform computations for better analysis. Lets consider the following dataset- import pandas as pd df = pd.read_csv(" Desktop/groupby.csv ") df.head(8) Output: df_groupby_percentile = df.groupby(' C ').quantile( .5 ) df_groupby_percentile df_groupby_mean = df.groupby('C').mean() df_groupby_mean Similarly more functions can be performed using groupby. For detailed information please follow following link- Click Here Click Here Click Here Click Here Thank You for visiting