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Analytics courses in Mumbai

In 2017, the global market for artificial intelligence was around $2.42 billion, and it is estimated to grow to $18 billion by 2022. Worldwide, companies are hiring skilled data analytics experts to find insights for their business and solve problems. Being one of the most in-demand profession in the market, it requires you to level up your skills to match the market to build a career in this field. Boston Institute of Analytics provides analytics courses in Mumbai under the guidance of experienced industry professionals. You can visit their website www.biaclassroom.com/courses for more information. BIA also provides 100% placement assistance and scholarship up to 50% for eligible students.<br>

AparnaDas
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Analytics courses in Mumbai

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  1. DATA ANALYTICS

  2. Analytics courses in Mumbai

  3. What is Data Analytics ? • Data analysis is a process of inspecting, cleansing, transforming and modeling data with the goal of discovering useful information, informing conclusion and supporting decision-making. • The companies can improve their strategies by keeping in mind the customer focus. • This helps in improving the profits of the company. Big data analytics tools like Hadoop helps in reducing the cost of storage. a analytics efficiently helps operations to become more effective.

  4. Data Analysis Techniques • Text Analysis- Text Analysis is also referred to as Data Mining. It is a method to discover a pattern in large data sets using databases or data mining tools.  • Statistical Analysis- Statistical Analysis shows "What happen?" by using past data in the form of dashboards • Descriptive Analysis- analyses complete data or a sample of summarized numerical data.  • Inferential Analysis- analyses sample from complete data. In this type of Analysis, you can find different conclusions from the same data by selecting different samples. • Diagnostic Analysis- Diagnostic Analysis shows "Why did it happen?" by finding the cause from the insight found in Statistical Analysis. 

  5. Best Languages forData Scientists • 1. Python :It remains to one of the most popular languages, both in terms of pay it offers and popularity amongst recruiters looking for Python skills. • 2. Java :One of the most practical languages to have been designed, a large number of companies, especially big multinational companies use the language to develop backend systems and desktop apps.  • 3. R :One of the most frequently used tools, it is widely demanded skill sets across recruiters in data science and machine learning. • 4. Julia: This high level dynamic programming language designed to address the needs of high performance numerical analysis and computational science is rapidly gaining momentum amongst the data scientists

  6. Data Analytics Application • Policing/Security •  Transportation •  Fraud and Risk Detection •  Manage Risk •  Delivery Logistics • Web Provision •  Proper Spending • Customer Interactions

  7. Responsibilities of a data scientist • Interpreting data, analyzing results using statistical techniques • Developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality • Acquiring data from primary or secondary data sources and maintaining databases • Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements.

  8. Data Analytics Job Trends • There will be a sharp increase in demand for data scientists by 2020. According to IBM, an increment by 364,000 to 2,720,000 openings will be generated in the year 2020. This demand will only grow further to an astonishing 700,000 openings. • According to Glassdoor, Data Scientist is the number one job on its website. This position will remain unchanged in the future. It is also analyzed that the data science openings are open for 45 days. This figure is 5 days more than the ones in a regular job market

  9. Special thanks…. • To Boston Institute of Analytics™ for their knowledge contribution +91-8657604703 | www.biaclassroom.com

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