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Data Analytics Course in Noida
Data Analytics Course in Noida

Data Analytics Institute in Noida India's No-1 Data Analytics Institute With Most Advanced Course Curriculum

Data Analytics Institute in NoidaAcademic Partner - Hewlett Packard



What Is Data Analytics & Why It Is The Most Demanding Skill Now a Days?

  • Data currently has been the buzzword in the 21st century. Data is everywhere. Every aspect of data (from large-scale organizations, enterprises to individual data) needs to be analyzed to benefit everyone from it.

    But how we do it?

    Well, that’s where ‘Data Analytics’ comes to rescue. In this blog on ‘Data analytics: Why is it an in-demand profession?’, you will get a useful insight into this term.

Data analytics


Data analytics is the science of examining & analyzing raw data to drive useful conclusions (trends and answer questions) about that particular information. Several techniques and procedures of data analytics are widely used by organisations and automated into mechanical processes and algorithms that work over raw data for more-informed business decisions.

Data analytics techniques can expose trends and metrics that would or else be misplaced in the mass of information. This information can then be utilised to optimize processes to increase the overall output efficiency of a business or system.

However, it includes numerous techniques with many different goals.

The data analytics process has various key components that are needed for any analysis. By combining these components, a victorious data analytics study will provide a clear picture of where you are, where you have been and finally, where you should go.

Importance of Data Analytics –

  • Data Analytics has a vital role in improving the business operations of an organisation as it is utilised to gather hidden information, generate insightful reports, perform market analysis, and then improve overall business requirements.

  • The numerous hidden information of consumer behaviour from data is gathered and then analyzed concerning business requirements. After analyzing, insightful reports are generated from the data and are provided to the respective teams and individuals to deal with further actions for a high improvement in business

  • Using data, organisations can perform competitive analysis to understand the strengths and weaknesses of industry competitors. All of that consequently helps enterprises and organisations to drive informed business decisions to meet customer requirements and experience.

Why Data analysts are high in-demand?

  • As you all now aware of why data analytics is so important to large organisations and enterprises, it is natural that they require skilled and professional data analysts to perform the above mention tasks and drive important business decisions and meet consumer demands more effectively.

    In 2018 the World Economic Forum(WEF) forecasted for the future workforce that, 85% of companies will have implemented big data and analytics technologies by the end of the year of 2022. It was also found that 96% of top companies were planning or likely to plan to acquire new permanent staff with relevant data analytics skills to fill big data analytics related roles.

    The organisations complain about the lack of an appropriate supply of skilled data analysts. Even Harvard has stated it as the ‘ sexiest job of 21st century’. IBM report claims that the yearly demand for data-related roles will lead to 700,000 new recruitments by 2020. On average, a Data Analyst in India can expect a salary of ₹404,660 annually or $83,878 (US).

Become a data analyst today!

  • The rising demands of skilled data analysts to fill the high paying positions needs to be fulfilled. If you are a person who loves to play with data, data analytics course in Noida is exactly for you.

    Madrid Software Trainings is the best data analytics training institute in Noida provides hands-on training to data enthusiasts to become a skilled data analyst that any top leading MNCs will be ready to hire.

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Data Analytics Course Highlights !



Data Analytics Classes in Noida
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Data Analytics Classes in Noida
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Data Analytics Training in Noida
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Data Analytics Training in Noida

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Course Outline

Our Data Analytics Course Is Designed By Industry Experts That Gives The Candidate an Edge In The Market



  •   Introduction To Data Analytics

    •   Data Analytics Roadmap

    •   Role Of Data Analyst In Companies

    •   Data Analytics Core Components

    •   Python Basics – Basic Syntax & Data Structure

    •   Core Python Programming Concepts

    •   Numpy Concepts

    •   Pandas package

    •   Data Manipulation Using Pandas

    •   Data Mugging With Pandas

    •   Data Visualization With MatplotLib

    •   Introduction To Tableau

    •   Working With Tableau

    •   Introduction To MySQL

    •   Constraints

    •   SQL Commands

    •   Introduction To Excel

    •   Formatting Essentials

    •   Functions & Formulas

    •   Dashboard Designing In Excel

    •   Data Analysis Tools

    •   Excel Charts

    •   Pivot Tables

    •   Case Studies

    •   Capstone Projects




Job Profile And Salaries In Data Analytics



Data-analytics-salary

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  • 100% Classroom Training by Our Top Ranked Faculty
  • Course Curriculum Design by Industry Experts
  • Real Time Assignments Case Study & Projects
  • Got Better Salary Hike and Promotion
  • Industry recognized certificates
  • Mock tests and Mock interview
  • Dedicated placement coordinator assigned to every
        candidate

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Top Data Analytics Institute in Noida



  • Live Project Based Training



  • Recorded Session After Every Class



  • Assignments & Assessments Test

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Data Analytics Interview Q & A


1.What are the various steps involved in a data analyst project?

A data analyst project usually requires these steps to complete:

  • Problem definition
  • Data exploration
  • Data preparation
  • Modeling
  • Validation of data
  • Implementation and tracking

2. What do you understand by data cleaning? List some best practices.

Data cleaning, also defined as data cleansing, deals with identifying and removing inaccuracies and inconsistencies from datasets to enhance data quality. Some of the best practices to perform data cleaning are:

  • Segment data through different attributes.

  • Cleanse big datasets stepwise, break them into small data and keep improving the data with each step for the best quality.

  • To handle everyday cleaning tasks, construct a set of utility functions/tools/scripts.
  • Analyze the summary statistics for every column
  • Keep the track

3.What is logistic regression?

Logistic regression is a statistical analysis method for examining a dataset in which one or more than one independent variables determine an outcome.

4.What to do you if you find that the data is missing?

  • Firstly, make a validation report that gives information on all missing data. It should provide information like the validation criterion that it failed and the event's date and time.
  • Examine the suspicious data to conclude their acceptability
  • Replace and assign any invalid data with a validation code
  • To work on missing data, employ the best analysis strategy like deletion method, single imputation methods, model-based methods, etc.

5. Describe collaborative filtering.

Collaborative filtering is an effortless algorithm to craft a classic personalized recommendation system based on consumer behavioral data. Essential components of collaborative filtering are users- items- interest.

An excellent example of collaborative filtering is when you see a statement like "recommended for you" on online shopping sites pops out based on users' browsing history.

6. Name the tools used in big data.

  • Hadoop
  • Hive
  • Pig
  • Flume
  • Mahout
  • Sqoop

7. List some useful statistical methods.

Statistical methods that are extremely useful for a data scientist are

  • Bayesian method
  • Markov process
  • Spatial and cluster processes
  • Rank statistics, percentile, outliers detection
  • Imputation technique, etc.
  • Simplex algorithm
  • Mathematical optimization

8.What do you know about a hash table?

In computing, a hash table is a record of keys to values. It is a data structure used to execute an associative collection. It uses a hash function to compute an index into an array of slots to fetch the desired. A hash table collision occurs when 2 different keys hash to the same value. 2 different data cannot be stored in the equivalent slot in an array.

9.Criteria for an adequate data model includes

Criteria for an adequate data model includes

  • Massive data changes should be scalable
  • A good model should provide predictable performance
  • It can adapt to changes in requirements

10.What makes you a suitable fit for this position?

In asking this question, the interviewer wants to know how confident you are about your skills. Answer it like this. "I possess the knowledge, experience, and excellent communication skill to be a benefit to your company.

FAQ


1.Who should do a data analytics course?

There are no limitations. Newly graduates or working professionals both can do a data analytics course with either technical (Mathematics, statistics, Computer science, etc) or non-technical background.

2.What are the most valuable skills for data analytics professionals?

The real-time most valuable skills for data analytics professionals are:

  • SQL, Oracle
  • Microsoft Excel
  • Critical Thinking
  • Linear Algebra and Calculus
  • R or Python–Statistical Programming
  • Data Visualization
  • Presentation Skills
  • Machine Learning
  • Microsoft Excel
  • Communication

3. Is this course useful for Non-IT professionals?

Data analytics doesn’t require advanced coding skills. Learning the course will help you gain problem-solving skills. It’s high in demand and will remain in demand for upcoming decades.

4. What is the average salary of a data scientist?

For a data analyst in India, having 1 – 4 years of experience has a gross earning (including tips, bonus, and overtime pay) of Rs 390k. But, if you are a matured and experienced Data Analyst who has been in the industry for 10 – 19 years, your salary can range up to Rs 9, 00,000 annually.

5. What are the top algorithms that every data analytics professional must know?

  • Linear Regression
  • Logistic Regression
  • Decision Tree
  • SVM
  • Naive Bayes
  • kNN
  • K-Means
  • Random Forest
  • Dimensionality Reduction Algorithms
  • Gradient Boosting algorithms

6. How much maths and statistics are used in data analytics?

You can become a good data analyst if you aren't good at math. Not all data analysts focus on mathematical analysis. The most useful area of math in data analysis is Statistics. To learn stats, you don't need a strong base in algebra.

7. Which programming language is most widely used for data analytics?

SQL, C (C++), Java, Javascript, MATLAB, Scala, Swift are some of the widely used programming languages for data analytics.

8.What are the top companies in India to work for after completing the data analytics course?

Mu Sigma, Fractal Analytics, Accenture Analytics, Manthan, LatentViewm, Tiger Analytics, AbsolutData, Evalueserve are some of the top companies in India to work with after completing the data analytics course.

9. Do we get placement support after completing the course?

Yes, Madrid Software Trainings provide 100% placement guidance after completing the course to ensure your safe and secure future.

10.Do we get online training also in data analytics from Madrid Software Trainings?

Yes, Madrid Software Trainings also provide online training in data analytics.

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