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  • syntaxtechs
    27.01.2022 - 20 hours ago
    #data analytics course #data analytics training #data analyst course #data analytics bootcamp
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  • datascience321
    27.01.2022 - 21 hours ago
    #Data Analytics course #data analytics certification
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  • dssdofficial
    26.01.2022 - 1 day ago
    #digitalmarketing#seo#content marketing#blogging#google ads #social media optimization #google analytics #digital marketing course
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  • syntaxtechs
    26.01.2022 - 1 day ago

    What is Data Analytics? Definition, Types, Tools, Importance and Career Prospects

    The contemporary world is characterized by an interesting phenomenon. This phenomenon is that of Data Explosion. It involves the generation of a staggering mass of data on a day to day basis. This data is in the form of valuable information, the understanding of which helps in pushing society in a forward direction. The dual notion of data and analysis as well as the usefulness it holds for mankind would well answer the question of what is Data Analytics and why is Data Analytics important.

    In this blog, you will learn Data Analytics in all its dimensions and we will cover some of the most important concerns which surround the Data Analytics definition.

    What is Data Analytics?

    How to Learn Data Analytics?

    Why Data Analytics?

    Data Analysis Basics: Its Types

    Data Analytics Tools

    Data Analytics Process

    How to get into Data Analytics: The Job Market

    Data Analytics Application

    Conclusion

    What is Data Analytics?

    Data Analytics is a holistic discipline which deals with data management through its collection and storage as well as, with the techniques, processes and tools, which help in analyzing it. The main purpose to learn Data Analytics is to discover patterns, valuable correlations, unseen trends, and consequently, extract meaningful insights which could help in undertaking business decisions, making predictions as well as improving its efficiency.

    The field owes much to the disciplines of mathematics, computer programming and statistics. It utilizes the tools and strategies of these parent disciplines in order to derive meaning from data in the pursuit of making predictions and improving performance. To learn Data Analytics would mean to understand the diverse data management tools including data transformation, data mining, data modelling, data cleansing and more.

     How to Learn Data Analytics?

    One must persevere towards excellence in moving forward on a specific learning path. This would include the possession of necessary qualifications, cultivation of requisite skills and adopting the different roles and responsibilities, correspondent to the position of a Data Analyst Course.

    In general, the role of a data analyst would include the following responsibilities:

    1.  Acquire Insights from Data: Data analysts need to derive meaning from data with the aim of analyzing it, in line with the requirements of the business.

    2.  Generate Reports: They are required to produce findings in the form of reports which help other individuals to decide upon the further course of action.

    3.  Indulge in Market Analysis: Data analysts need to perform an analysis of the market in order to make sense of the strengths and shortcomings of its competitors.

    4.  Improve Business Performance: The shift to a client centric model of business, has required data analysts to utilize data analysis for improving business performance in line with the requirements and needs of the customers.

    Consequently, one can learn Data Analytics, by involving oneself in appropriate academic courses which help in the cultivation of specific skills. Some of these are:

    1.  Sound understanding of statistical and mathematical concepts

    2.  Capability to work with data models and data packages

    3.  Knowledge of different programming languages including Python and others

    4.  Sound knowledge of SQL databases

    5.  Comprehensive understanding of the fundamentals of Web Development

    6.  Knowledge of Microsoft Excel

    7.  Being able to understand processes such as data mapping, data management, data manipulation and so on

    The field of Data Analytics is one of the fastest growing domains within the tech industry.

    Why Data Analytics?

    In understanding why Data Analytics is important, it is worthwhile to consider the question in light of the value which analysis of data provides to business enterprises.  Some of the most important usages of Data Analytics in business are:

    1.  Revamping the process of Decision Making: Data analysis is based on hard core data and is thus able to eliminate the possibility of speculation and conjectures. Instead of the traditional trial and test method, it gives the decision makers an opportunity to develop campaigns, products and content, in a more tailored fashion. This helps in reducing the margin of error in decision making.

    2.  Improved Customer Service: The business model has shifted to a client centric model and in order to stay afloat, it is imperative for business enterprises to contour their services as per the needs of the customers. Data Analytics is of great utility when it comes to providing the business leaders with precise understanding of the needs, interests and concerns of the customers.

    3.  Efficiency in Operation: Instead of trying and testing too many things, business enterprises can go with the option with the greatest probability to resonate with the needs of the customers. This helps in reducing operation costs.

    4.  Competent Marketing: Deriving insights from the performance of campaigns is essentially based on the fundamental idea of Data Analytics. These insights not only help in tailoring the campaigns, but also help in acquiring more leads and consequent conversion; thus perfecting the process of marketing.

    The above mentioned points clearly hint at the utility which Data Analytics hold for big or small, existing or upcoming business enterprises. It establishes the idea that if one happens to learn Data Analytics, it would only open up manifold opportunities for the person concerned.

    Data Analysis Basics: Its Types

    There are different types of Data Analytics.

    1.  Descriptive Analytics: This kind of analysis is concerned with the ‘what’. It aims at elucidating the current state of affairs by extracting patterns and trends through data analysis.

    2.  Diagnostic Analytics: This kind of analysis is concerned with the ‘why’. It uses insights gathered through descriptive analytics, in order to trace the cause or factor which accounted for the existing state.

    3.  Predictive Analytics: This kind of analytics is concerned with the future. This kind of analytics utilizes data of descriptive and diagnostic analytics and subjects it to different statistical models and tools, in order to arrive at tentative predictions about the future.

    4.  Prescriptive Analytics: This kind of analytics is concerned with what is to be done. This kind of analytics utilizes different data analytics techniques in order to suggest viable solutions for achieving the predicted goals and outcomes.

    Data Analytics Tools

    Python: It is an open-source object-oriented programming language which supports an array of libraries for data modeling, data manipulation and data visualization.

    Tableau: It is an analytical tool which helps in data visualization. It provides for interactive presentation of data, dashboards and report building, highlighting trends and insights.

    R: It is a programming language which is largely used for statistical and numerical analysis.

     Apache Spark: It is a Data Analytics engine which provides for the processing of data in real-time as well as execute complex analytics by making use of machine learning algorithms and SQL queries

    Power BI: It can be regarded as one of the foremost tools of business intelligence, imbued with a simple ‘drag and drop’ functionality. It has features which are visually appealing to data and supports a plethora of data sources. The tool would allow one to raise questions to data and derive immediate insights

    SAS: It is a software for statistical analysis which has diverse features. It is capable of facilitating the process of writing SQL queries, performing analytics, building machine learning models, visualizing data as well as performing statistical analysis.

    QlikView: Imbued with features of in-memory storage and interactive analytics; QlikView can help in analyzing a staggering amount of data and use the insights for supporting the process of decision making. It provides for interactive guided analytics and social data discovery.

    Data Analytics Process

    Analyses of data lie at the heart of the Data Analytics definition. However, this process follows a certain trajectory which has been summed up below.

    Identification of the Problem: Understanding a problem within a business enterprise, demarcating the objectives and goals to be achieved and drafting a viable solution for solving the problem.

    Collection of Data: Collection of relevant data from all possible sources in order to address the problem.

    Organizing and Data Cleaning: The gamut of data collected is most likely to be in an unrefined and fuzzy form. It would be required to organize it as well as clean it by removing all forms of irrelevant, redundant and unwanted bits, in order to make it conducive for analysis.

    Analysis of Data: The professional applies the different Data Analytics tools, techniques and strategies in order to analyze data, derive insights from it and consequently, speculate future outcomes as well as generate feasible solution to the problem concerned.

    How to get into Data Analytics: The Job Market

    The Data Analytics job landscape is immensely promising. Skilled professionals within the field can enjoy a pertinent benefit and that being the availability of career positions across multiple industrial sectors. Consequently, it has evolved as a rewarding career option.

    Learning Data Analytics can result in the possibility of earning some of the most lucrative job titles like: Data Analyst, Data Scientist, Data Engineer, Business Analyst, Data Analytics Consultant, Data Journalist, Data Visualization Specialist, Product Analyst, Database Admin, Data System Developer, Marketing Analyst, Functional Analyst and so on.

    The average salary for the post of a junior Data Analyst is estimated to be around $49,764; while for a Data Analyst might be around $75,286 and $96,970, for a senior Data Analyst.

    The position of a Data Scientist is an extremely lucrative one with the average salary in the range of $91,494 - $122,450.

    The median salary of Data Engineers is almost comparable to that of Data Scientists and is estimated to be at $90,963; while the average salary of a Business Intelligence Analyst is estimated to be at $95,838.

    Professionals who learn Data Analytics and end up earning the designation of a Quantitative Analyst, might earn a median salary of around $82,879; $67,353 for an Operations Analyst and $66,571 for a Marketing Analyst.

    Data Analytics Application

    Data Analytics in Retail: Data Analytics is quite beneficial to retailers as it aids them in comprehending the buying habits and needs of their customers. This can be utilized in recommending new products, predicting trends and consequently, boosting business.

    Data Analytics in Banking: Financial institutions utilize Data Analytics to figure the churn out rate of customers as well as probable loan defaulters. Detection of fraudulent transactions is also facilitated through Data Analytics.

    Data Analytics in Agriculture: The process of farming has increasingly become data driven. Data Analytics has paved way for smart farming as farmers are being able to use data to calculate fertilizer demand, harvest yields, cost savings and are even able to identify strategies for future crops.

    Data Analytics in Accounting: Data Analytics might be incorporated by accountants in their work, which could be helpful in providing for assessment of estimates, prediction of audit outcomes and issues and can be a fundamental base for managerial decision making.

    Conclusion

    Data Analytics is a phenomenon with a potential to revolutionize industries, cutting across sectors. Our dependence on devices and systems has only augmented the quantum of data generated. It would be futile to abandon them, even when they have tremendous potential for streamlining economic activities. It is precisely this understanding which provides an answer to the question of why is Data Analytics important.

    We, at Syntax Technologies, bring to you the exciting opportunity to learn Data Analytics from the comfort of your home. You can be a part of this educational and informative online program which would help you to acquire new skills in consonance with the existing requirements of the tech industry.

    #data analytics course #data analytics training #data analyst course #data analytics bootcamp
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  • uncodemytraininginstitute
    25.01.2022 - 2 days ago
    #best business analytics training in indore #business analytics certification course in indore #online business analytics certification course #uncodemy #busiess analytics training institute in indore #business analytics
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  • syntaxtechs
    24.01.2022 - 3 days ago
    #data analytics course #data analytics training #data analytics bootcamp #data analyst course
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  • eduplusnow
    24.01.2022 - 3 days ago

    4 Advantages of Learning Data Analytics In your Career

    According to the reports shared in Linkedin, data analytical skills are the top technical skills that will be in demand beyond 2022. It is one of the reasons for which online data analytics course has significant demand nowadays.

    Today, 80% of the companies (approx) rely on accurate data to streamline and measure the key metrics associated with their business. Be it the medical sector, BFSI, education, retail business, logistics and supply chain, the importance of data-based analysis cannot be overruled. 

    Importance of Data Analytics in Business

    Few ways data analytics add leverage to existing businesses:

    Maximum scope to access genuine and authentic data 

    Easier to take necessary decisions based on accumulated data 

    Identifying the nature of expenses while analyzing financial data of an existing business and many more 

    The companies looking ahead to add these advantages of data analysis always hunts for potential data analysts in their business. With a sound knowledge of data analysis, it is easier for you to be an ideal fit for the job. 

    That is where the importance of a virtual data analytics program comes to play! 

    Few Benefits of Enrolling in Virtual Data Analytics Course:

    Guaranteed job diversity

    A virtual data analytics program enhances your data analytical skills in various ways. Be it about studying the financial data, business data, marketing data or anything else. With sound data analyzing skills, you can be an ideal fit for the job role of financial analyst, marketing analytical expert, risk analyst. As a data analyst, the best part is that you can draft a conclusion based on your analysis. Then, based on your conclusion, it will be easier for the organization to take the necessary strategies needed in the organization. 

    Scopes to work with the healthcare sector

    A career-focused data analysis program enriches your basic knowledge of Big Data which is an integral part of every business. If you are already working in the healthcare sector, additional knowledge of data analysis is a good way to enhance your medical data analytical skills. Later you can add this certified experience of data analytical skill in your CV to grab better professional opportunities in your career. 

    Enhancing professional skills without compromising your job

    An online data analytical program does not require your physical presence in a classroom. It is easier to attend virtual classes with a steady internet connection. The pandemic situation is the best way to utilize the opportunity of enriching your professional skills while working from home. That way, you do not have to compromise your fixed job under any circumstances. That is another advantage of enrolling in a virtual data analytics program. 

    Attractive salary benefits 

    The initial CTC offered to a data analyst in India is no less than a package offered to an engineer. It is quite equivalent to the package offered to them. The best part is, post a data analytics course; you can also choose the job tole of a medical data analyst in overseas medical labs. 

    Conclusion 

    If you want to be an ideal fit for the job role of a data analyst, it is always wise to enroll in an online data analytics course along with a certificate. 

    #online data analytics course #Online data engineering courses #eduplusnow
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  • ehs25
    24.01.2022 - 3 days ago
    #certificate course in hr analytics #payroll courses online
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  • digitalmarketingtrainingcourses
    22.01.2022 - 5 days ago
    #advanced google data web analyst certification course online #google data analytics professional certificate
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  • allschoolscollege
    21.01.2022 - 6 days ago
    #BBA Business Analytics #BBA#bba course #bba course admission #BBA Business Analytics admission
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  • learnbay-datascience
    20.01.2022 - 1 week ago

    🧐Data Science is declared the “best job of the 21st century”.

    It assists businesses and sectors in making data-driven choices, analysing market trends, and maximising revenues.

    💰This makes it one of the best-paying occupations in India and globally.

    According to Michael Page's 2021 India Talent Trends report, firms are willing to pay a premium and offer long-term incentives to recruit and retain data science talent.

    This is the best moment for you to transition into the field of Data Science and AI for exploring future opportunities

    👉🏻Speak to our career counsellors and get a profile review and a roadmap designed for you to ensure the best results from this program.

    For more such useful content, follow @learnbay-datascience

    🔗Check the link in the bio to know more about our courses: https://bit.ly/32dgfUy

    📲 DM for more details or queries

    #learnbay-datasciencw-institute#datascience#machine learning#data science #learnbay datasciencw institute #data scientist#artificial intelligence#technology#python #developers & startups #machine learning course #business analytics course #nlp courses #artificial intelligence course #online courses#courses
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  • ehs25
    20.01.2022 - 1 week ago
    #hr analytics course online #certificate course in hr analytics #hr training courses near me
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  • ehs25
    20.01.2022 - 1 week ago
    #course for hr manager #certificate course in hr analytics #hr analytics course online
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  • syntaxtechs
    20.01.2022 - 1 week ago
    #data analytics course #data analyst course #data analytics training #data analytics bootcamp
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  • engineeringpu
    19.01.2022 - 1 week ago
    #PlakshaUniversity after12thscience science career CareerCounseling #career #best institute for data science in india #best business analytics courses in india
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  • syntaxtechs
    19.01.2022 - 1 week ago
    #data analytics course #data analytics training #data analytics bootcamp #data analyst course
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  • s-o-i-l-world
    17.01.2022 - 1 week ago

    With the rise of corporate culture as well as encouragement to entrepreneurship in India, more and more students are opting for management studies. There is no dearth of institutes and universities offering postgraduate programs in management. In fact, Delhi & the NCR regions have close to 3,500 management institutes offering a wide range of courses all under the same academic bracket – MBA courses in Delhi. However, Indian students often find themselves faced with the choice of two such courses, namely MBA and PGDM. Candidates are often unsure about the difference in titles as well as the content. This leads to much confusion regarding which course one should opt for, and why. Here’s your guide to understanding the difference between the MBA and PGDM courses in India.

    #MBA#pgdm#mba program#pgdm program#pgdmcollege #pgdm in business management #PGDM courses#management institutes #pgdm in business analytics #pgdm vs mba #pgdm vs mba salary #pgdm and mba difference #pgdm institute in India
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  • uncodemytraininginstitute
    17.01.2022 - 1 week ago
    #uncodemy #best data analytics training institute in indore #data analytics training course in indore #data analytics training in indore #data analytics
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