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Data Analytics

You will become a Data Analytics expert after completing this course. Our data analyst certification will teach you how to use analytics tools and methodologies, as well as how to deal with SQL databases, R and Python, develop data visualisations, and use statistics and predictive analytics in a commercial setting. Masterclasses from our skilled teachers are included in this data analytics course.

Get a clear look at the procedures and processes that a junior or associate data analyst uses on a daily basis. Learn key analytical abilities (cleaning, analysing, and visualising data) as well as tools (spreadsheets, SQL, R programming, Tableau)

Understand how to clean and arrange data for analysis, as well as how to use spreadsheets, SQL, and R programming to accomplish analyses and calculations. Learn how to use dashboards, presentations, and other visualisation platforms to visualise and present data insights.

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Key Features

    Convenient learning format

    Dedicated Career services

    Learn from the Best

    Structured program with best support

    Hands on Learning

    Optional Payment Modes

    Individual Approach to Each Student

    Intensive Project Session

    Best Fees Structure


About Data Analytics Course

Ghurudev Education is one of Chennai's top Data Analytics training Institute , with a 100% placement percentage. This Data Analyst course will help you become an expert in data analytics. This Data Analytics Course will teach you how to use the most up-to-date analytics tools and techniques, as well as how to deal with SQL databases, R and Python programming languages, the art of visualization techniques, and how to apply statistics and predictive analytics in a corporate setting.

Ghurudev Education teaches students how to use an integrated Blended Learning strategy to become data analysts. This Data Analyst certification course will prepare students for top data analyst jobs in the market.

Why do you want to become a data analyst?

Data Analysts will be one of the greatest professions on the market by 2025, according to the World Economic Forum. Because of the value they can help obtain from data, organisations consider data analysis to be one of the most important skills. Data is more abundant and accessible than ever in today's business environment, with over 2.5 quintillion bytes of data created every day, and with the ever-increasing skill gap in data analytics today, the value of Data Analysts is continuing to grow, creating new jobs and career advancement opportunities.

Professionals who enter the Data Analytics area now will have a wide range of work opportunities and competitive compensation. According to the Future of Jobs Report 2020, a shift in the division of labour between humans and machines could result in the loss of 85 million jobs by 2025. Data analysts and scientists, AI and machine learning experts, robotics engineers, software and application developers, and digital transformation specialists are all in high demand.

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Skills You Learn in Data Analytics

This Data Analyst course's learning path is specifically designed to provide you with the skills you'll need to be successful in Data Analytics and offer you a competitive edge. After completing this Data Analyst certification class, you will be able to: Learn about central tendency, dispersion, correlation, and regression, as well as other important statistical concepts. Understand SQL terms like Universal Query Tool and SQL command. Implement the ideas of variables, strings, functions, loops, and conditions in your first Python programme. Pandas allows you to work with data in Python, including reading and writing files, loading, working with, and saving data. Learn how to use NumPy to understand data in Python, manipulate Data Frames in Pandas, use the SciPy library of mathematical methods, and use Scik it-Learn to perform machine learning. Make use of well-known Python libraries to perform data analysis. Learn about Matplotlib, Seaborn, and Folium, as well as other Python data visualisation packages. Learn how to develop your own R scripts and gain a solid understanding of the fundamentals of R.

Master R programming and learn how to use it to execute diverse sentences.

For data analysis, you should be able to recognise and employ linear and non-linear regression models, as well as classification approaches.

K-means, DBSCAN, and hierarchical clustering are some of the clustering methods you can learn and use.

Using Excel, gain a basic understanding of business analytics.

Learn about the most up-to-date Microsoft analytics and visualisation technologies (Power BI)

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