Data Analytics Course in Chennai

Enrol in Qmatrix Technologies’ Data Analytics Course in Chennai, which is regarded as the best Training Institute in Chennai, to learn from professionals in the field.

The core ideas of regression analysis, hypothesis testing, data extraction, descriptive and inferential statistics, and data blending are all taught to students by the knowledgeable trainers of the Data Analytics Training in Chennai. Participants in the Data Analytics Training will become proficient in some important tools and technologies, including Tableau, R, SAS, Data Visualization, Python, Power BI, and Excel. Qmatrix Technologies offers two real-time capstone projects that help students gain a practical understanding of data analytics. Upon completion of the course, students will receive a valued credential. Furthermore, our students receive placement training that helps them land well-paying jobs in the field of data analytics at reputable firms.

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Data Analytics

Data Analytics - An Overview

Data analytics is becoming a more popular option for both professionals and students. Choosing the best path, though, can be difficult when there are so many possibilities available. Our online Data Analytics courses in Chennai at Qmatrix Technologies provide a solution.

Qmatrix, the best software training institute in Chennai that helps with placements, provides a personalized training curriculum that enables you to learn about data transformation and intricate algorithms for addressing problems. You can also learn techniques for data optimization and visualization from the course. Besides all of that, the curriculum includes narrative and data science project execution methodologies.

You become an expert in several industry-specific abilities, like data mining, power BI, and data wrangling, by taking the Qmatrix Data Analytics course. With the help of case studies and ongoing projects, you may learn from professionals in the field and get real-world experience. Become a certified specialist in data analytics by enrolling today.

The Key Features of Qmatrix Data Analytics Training

High Placement Results

Qmatrix makes you a valuable asset for top-tier firms by guaranteeing 100% job placement at top MNCs.

Expert Instructors

Learn best practices and improve your technical skills from knowledgeable instructors. Both online/offline training.

Guaranteed Certification

Obtain an industry-recognized certification that will help you easily and rapidly reach your career goals.

Flexible Courses

Follow a suggested curriculum for particular data analytics job roles and learn at your own speed.

55-hour training

Make use of the 55 hours of instructor-led instruction, coaching, and in-depth knowledge of the fundamentals of data analytics.

Permanent Batch Access

Participate in our training sessions as frequently for your lifetime to ensure ongoing learning and skill development.

Why Learn Data Analytics Training in Chennai at Qmatrix Technologies?

Qmatrix Certificate

Participate, Learn, and Excel

Turbocharge your career with data analytics capability. Don’t hesitate; to enroll at the best Data Analytics institute in Chennai right now.

Trainer Profile

  • Instructors at Qmatrix Technologies offer practical instruction on the Database and its management strategies.
  • Instructors at Qmatrix Technologies broaden students’ understanding by providing them with in-depth instruction on current industry trends and principles.
  • Students receive thorough instruction from the teachers, who cover the course from the fundamentals to the intricacies.
  • One-on-one mentorship is how instructors at Qmatrix Technologies provide each student with individualized attention.
  • As the students work on real-time database projects, the trainers assist.
  • Each student’s progress is monitored by the trainers through routine assessments.
  • Trainers at Qmatrix Technologies use group talks, resume creation, and simulated interviews to help and coach students during job interviews.

For Enquiry

Data Analytics Course Syllabus

  • Understand the meaning of terms used frequently in data analytics, such as data, data analysis, and data ecosystem.
  • Evaluate your own analytical thinking skills and provide examples of how you’ve used them in real-world situations.
  • Explain the role of data visualization tools, query languages, and spreadsheet tools in data analysis.
  • Describe the duties of a data analyst in more detail, emphasizing possible career paths.
  • Recognize the importance of every step in the problem-solving process within the context of common analytical situations.
  • Emphasize how important data is in guiding decisions.
  • Demonstrate your ability to use spreadsheets for basic data analyst activities including organizing and data entering.
  • Explain the main concepts of structured thinking.
  • Discuss factors to take into account when choosing data collection techniques.
  • Distinguish between sources of biased and unbiased data.
  • Give a summary of databases, emphasizing their functions and key elements.
  • List the best practices for organizing data.
  • Understand various types of data integrity and the risks associated with them.
  • String data in databases can be cleaned by using simple SQL methods.
  • Create fundamental SQL queries for database management.
  • Describe the procedures for verifying the results of cleansed data.
  • Before analysis, emphasize the significance of organizing the data, with a particular emphasis on sorting and filtering.
  • Understand the formatting and data conversion processes.
  • Learn the syntax and functions of SQL to combine data from several database tables.
  • Use spreadsheet data to demonstrate the application of fundamental mathematical functions.
  • Give an example of how data visualization helps with data presentation and analytical outcomes.
  • Acknowledge Tableau as a data visualization tool and its range of uses.
  • Define data-driven storytelling and emphasize its important points.
  • List the best practices and guiding concepts for powerful presentations.
  • Describe the R programming language and its environment for writing code.
  • Describe the fundamental ideas of R programming, including variables, pipelines, vectors, data structures, and functions.
  • Examine the possibilities for creating R visuals.
  • Learn the fundamental R Markdown focus and structure strategies.
  • Make distinctions between case studies, portfolios, and capstone projects.
  • List the essential components and attributes of an extensive case study.
  • Using a given data set, apply established procedures and methods to the data analysis workflow.
  • Discuss the benefits of case studies and portfolios with hiring managers and prospective employers.

Advantages of having a Data Analytics Certification

Career Options

Boost your chances of finding employment by working with leading data analytics organizations.

Business Opportunities

By applying data analytics concepts, you may increase your company's potential and boost the functionality of your website.

Advantages over Competition

Become well-versed in data analytics to set yourself apart from your competitors.

Proficiency in Interpretation

Develop your skills in using descriptive analytics to summarize data and interpret it meaningfully.

Diagnostic Effectiveness

Make use of diagnostic analytics to quickly and accurately identify issues and their underlying causes.

Forecasting Capabilities

Use predictive analytics to foresee future trends and remain one step ahead of the competition.

Frequently Asked Questions about Data Analytics Training in Chennai

  • Definition and Types of Data Analytics
  • Using tools and software to perform data analytics
  • The diverse objectives of data analytics
  • Future directions in data analytics and the insights they provide.
  • Make future event predictions through data analytics.
  • Understand the value of data analytics in corporate decision-making.

Within the data landscape, data scientists, business analysts, and analysts of data each occupy distinct roles. The full cycle of data analysis is carried out by data analysts. Business analysts, on the other hand, concentrate on developing, implementing, analyzing, and reporting on business capabilities. Statistical analysis is used by data scientists to build machine learning systems.

After completing this course, you may choose careers in many kinds of managerial jobs, in addition to Data Analyst. These include data analytics lead/manager, business intelligence analyst, business analyst, senior business analyst, and business intelligence engineer.

Tools for data analysis facilitate the following tasks:

  • Data manipulation
  • Data processing
  • Identification of patterns and trends

A few of the tools used are:

  • R programming
  • QlikView
  • Tableau Public
  • KNIME
  • RapidMiner
  • Excel
  • Apache Spark
  • SAS
  • Splunk

Qmatrix Technologies provides two primary training formats: self-paced and instructor-led online training. Furthermore, we help organizations improve the skill set of their workers by offering corporate training services. Our trainers are active consultants in their fields and have over 9 years of relevant industry experience, making them more than just instructors. Through this experience, they become subject matter experts, guaranteeing the best possible instruction.

Student Success Stories