various steps in a data analytics project?
various steps involved in the data analysis process are:Data Exploration Data PreparationData Modelling Validation Implementation of the Model and Tracking
7 Fundamental Steps to Complete a Data Analytics Project Step 1: Understand the Business. ... Step 2: Get Your Data. ... Step 3: Explore and Clean Your Data. ... Step 4: Enrich Your Dataset. ... Step 5: Build Helpful Visualizations. ... Step 6: Get Predictive. ... Step 7: Iterate, Iterate, Iterate.
steps in a data analytics project
Any analytics problem involves the following steps: Understanding a business problem. Data exploration. Data preparation for modeling. Running the model and analysis of results. Model validation using new data sets.
PageRank was named after Larry Page, one of the founders of Google. PageRank is a way of measuring the importance of website pages. According to Google: PageRank works by counting the number and quality of links to a page to determine a rough estimate of how important the website is. Quite a useful concept in Web Analytics. Lets discuss more here
PageRank is an algorithm used by Google Search to rank web pages in their search engine results. PageRank was named after Larry Page, one of the founders of Google. PageRank is a way of measuring the importance of website pages.
Data analytics provides insight from data (trends, market segments, etc). These insight are then presented to decision makers, eg CFO or CMO, to make business decisions.Optimization can be used to make better decisions instead of just showing insights derived from data. Lets discuss more here
Optimization is the most essential ingredient in the recipe of machine learning algorithms. It starts with defining some kind of loss function/cost function and ends with minimizing the it using one or the other optimization routine.
Common SQL Question
What are the common SQL question asked in DS interview?
What is SQL? ... What is a Database? ... What is the difference between DDL, DML, DCL, and TCL? ... What is the point of using a foreign key constraint? ... Define and provide an example of using an inner join. ... Using the previous example, explain how to use a left join. ... What is the difference between MySQL and PostgreSQL?
Analytics fighting to Corona virus
The US Center for Disease Control and the World Health Organization (WHO) are tracking the outbreak of corona virus what could become a world epidemic.Johns Hopkins University's Center for Systems Science and Engineering has created a real-time visualization of the outbreak that includes a map, listings of total numbers of cases, deaths, and people recovered. This is a great help of Analytics to society.
4 way:s: Medical resource optimization, Ensuring demand planning stability, Contact tracing and Situational awareness and critical response analysis.
The transformation AI is a need of inter-connecting data and intellectual capabilities within an integrated yet ever-changing life-cycle platform. So, it’s responsibility of professional to integrate these changes in existing ecosystem.
AI transformation is the next phase of digital transformation. ... Digital transformation is required before companies can start their AI transformation because digital data is necessary for AI training and digital processes are necessary to roll-out AI solutions in most cases.
Accuracy of data analytics
The accuracy of data analytics ecosystem can be judged by the suitability of outcome in problem solving .Any Data Analytics ecosystem is not going to deliver accurate results, until the data set is not exact representative of required Parameters of decision
accuracy = (TN + TP)/(TP + TN + FP + FN) The accuracy tells that overall how often the model is making a correct prediction. Error Rate: Error rate tells that overall how often the model is making a wrong prediction.
Amazon Future Forecast
Amazon predicts about future of its business and business related activities as product demand, resources, financial performance, etc results in increasing their profits. The surprising fact is 89% accuracy of this predictive model.
As of 2020 April 26, Sunday current price of AMZN stock is 2412.980$ and our data indicates that the asset price has been in an uptrend for the past 1 year (or since its inception). ... Future price of the stock is predicted at 3857.619$ (33.011% ) after a year according to our prediction system.
Various machine learning tools can also identify unusual patterns in trading data and alert the financial institutions for further investigation into it. By use of clustering algorithm banks had saved million from fraud case in last few years.
fraud analytics can be defined as a multidisciplinary field that combines numerous quantitative sciences in order to better understand fraud, for example through business intelligence (BI), and develop effective fraud detection solutions through data science.