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Data Analytics Course – A Beginner’s Guide

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With the advanced digital landscape, data has turned out to be the most precious asset which has the capability to make the best decisions among multidisciplinary sectors. This has resulted in ever increasing demand for skilled professionals in the field of data analytics. Data analytics course provides abundant opportunities to individuals having a dream of pursuing a career in data analytics.

Power of data analytics

Data analytics helps the business to improve their performance, increase revenue and make strategically best decisions. We can also say that data analytics helps the business to understand customer behavior, determine trends, optimize the supply chain, estimate future results, and many more. Data analytics is powerful because it has the ability to get useful insights from the raw data.

Key features of data analytics courses

  1. Industry-relevant projects: The students work on real-world industry datasets and case studies to get practical know-how and collaborate with organizations to handle complicated issues.
  2. Comprehensive course contents: The data analytics course covers a wide range of topics, including machine learning, data mining, data visualization, statistical analysis, and predictive modeling.
  3. Specialized faculty: Seasoned professors and instructors along with industry experts provide mentorship and guidance to the students regarding the latest industry trends.
  4. Opportunity to widen the network: Seminar, workshops, and networking events helps the students to connect with future employers and industry experts.

Admission requirements for data analytics course at Envision Learning

  1. Bachelor’s degree in an associated field, like data science, computer science, statistics, or mathematics.
  2. Strong mathematical skills to analyze data.
  3. Proficiency in English

Career prospects after course completion

  1. Data analyst: Pull out valuable insights from the raw data for informed decision-making. You can get an entry-level role as a junior analyst where you have to implement data analyst skills including Python, SQL, Tableau, etc.
  2. Data scientist: Advanced analytical techniques are applied to estimate future trends and results. You have to advance your programming skills, advanced mathematics learning, and machine learning.
  3. Management: Advancing to the management positions, including analytics manager, senior level analyst, or director of analytics. You must focus on developing your leadership skills.
  4. Specialist: You can expect a career path as a specialist, like a business analyst, marketing analyst, operations analyst, financial analyst, healthcare analyst, or systems analyst.
  5. Machine learning engineer: Designing and implementing algorithms that help computers learn from data. Your role is to create perfect machine-learning models for making accurate predictions.
  6. Data engineer: Collect, maintain, and process data for creating data pipelines and databases.
  7. Chief data officer: Responsible for data governance, data compliance, and encouraging data-driven initiatives of an organization.

How much you can make?

According to Glassdoor, the average annual pay of several data analyst roles in the United States in November 2021 are as follows:

  1. Junior analyst: $53,417
  2. Data analyst: $69,517
  3. Senior data analyst: $96,809
  4. Chief data officer (CDO): $189,480
  5. Data scientist: $117,212
  6. Business analyst: $77,218
  7. Financial analyst: $73,725
  8. Operations analyst: $61,457
  9. Marketing analyst: $67,319
  10. Systems analyst: $85,599
  11. Health care analyst: $74,404

Why data analytics course at Envision Learning?

Begin your journey towards a data analytics career with Envision Learning. Develop employment-ready skills in less than six months. After completing the course, you will get a certificate for your CV along with analytical skills and abilities for the job in several reputed companies.

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Data Science Course with Placement: Your Career to Success

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The field of data science has evolved with the change in technology and it has proved to be beneficial for several industries. As organizations are growing, they need professionals who can get valuable information from the data. A Data Science Course with Placement is a perfect option for those who want to have a smooth transition to a promising career.

What is Data Science?

Data science is the study to extract useful information from the data for the business. It is a multi-disciplinary approach that utilizes principles and practices from several fields like computer engineering, artificial intelligence, mathematics, statistics, advanced analytics, specialized programming, and many more. The analysis generated from using the above practices helps data scientists to answer specific questions like what happened, why it happened, what will happen, etc.

Future of data science

Although, artificial intelligence and machine learning are capable of handling and processing data quickly and efficiently. Despite this, there is a need for trained data scientists having cross-functional skillsets and expertise. Their demand is estimated to show strong growth in the coming few decades.

Why Data Science Course with Placement?

Data science course with placement is essential considering the demand of a competitive job market which gives significant importance to practical skills along with theoretical knowledge. Opting for a data science course with placement offers several advantages:

  1. Direct industry connections: You will have the opportunity to interact with professionals in the field of data science. The partnership of an institute with companies, elevates the chances of getting more job opportunities.
  2. Enhanced skillset and confidence: The involvement in actual data projects during placement will not only increase your skills to handle the project but also increases your confidence to apply for the next better job opportunity.
  3. Job placement assistance: The institute conveys the students about job openings. Along with this, the students also get assistance in preparing for an interview and creating an expressive resume.
  4. Practical Application of knowledge: Institute focuses on courses with placement targets knowledge inculcation using real-world scenarios so that the students can be prepared for their first job before completing the studies.
  5. Competitive edge: The data science job market is competitive. Anyone having placement experience will be preferred over candidates having only theoretical knowledge. Moreover, employers also want to recruit candidates who can hit the ground running.

Career prospects after completing data science course

  1. Data scientist: Analyzes huge datasets to determine patterns and trends for making informed decisions for an organization.
  2. Data engineer: Collect, maintain, and process data for creating data pipelines and databases.
  3. Business analyst: Uses data to determine opportunities for growth, provide useful insights for strategic planning, and improve overall efficiency.
  4. Machine learning engineer: Focuses on creating and using machine learning algorithms and models. The primary aim is to improve the efficiency and accuracy of the models.
  5. Big data analyst: Processes and analyzes massive data set to uncover meaningful insights.
  6. AI research scientist: focuses on creating new algorithms and advances theoretical foundation.
  7. Consultant or freelancer: You can work independently as a freelancer on a contract basis, taking care of data-related projects.

Why a Data Science Course at Envision Learning?

At Envision Learning, you will acquire both practical and theoretical knowledge of data science. You will be working on projects that include solving industry-related problems, designing predictive models, and analysing real datasets.

Take your first step towards enriching your career in Data Science, visit the Website.

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Data Analytics Professional Certificate

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A data analytics professional certificate is a formal recognition to an individual possessing expertise in Data analytics. These certificates are specifically designed to authorize practical knowledge and analytical ability in numerous aspects of Data analytics like data collection, processing, generating valuable insights, estimating patterns or trends, interpretation, database, and many more. These certificates are provided by educational institutions, professional organizations, or online learning platforms.

Earning a professional certificate is beneficial not only to an individual or learner who has completed the course in Data analytics but also the employers looking for skilled data analysts.

Why go for Data Analytic professional certification?

1. Credibility: A professional certificate acts as proof of expertise for a learner. This makes them stand out from the learners who have completed the course without certification. Professional certification makes the candidate more attractive to employers.
2. Competitive edge: Having a Data Analytics professional certification will keep you apart from other candidates. You will get preference over the other candidate whenever you apply for a job.
3. Global recognition: Some of the certificates are recognized globally. This is beneficial if you plan to work or do business abroad.
4. Employer support: Several employers across the world support their employees to go for Data Analytics professional certification course. In some cases, the employers also provide financial assistance and study material for employee development.
5. Career transition: If you plan to change your career, then Data Analytics professional certification provides the necessary knowledge along with credentials for an easy transition to a completely new area.

Steps to Get Data Analytics Professional Certificate

1. Research for a reputable institute
You must research and analyze different educational institutes offering certification for Data Analytics courses. Prefer to go for an accredited institute because they poses experienced professionals.
2. Acquire the practical skills
After enrollment in the course, you should acquire skills to collect data, analyze and retrieve useful insights. Develop proficiency in various tools like Python, Tableau, R, etc.
3. Engage in real-world projects
Get technical know-how of real industry projects. Working with real data is beneficial as it elevates your problem-solving ability. This will also be added advantage to your CV.
4. Network with like-minded people
Try to collaborate and network with fellow learners because it will lead you to the most desirable job prospects.

Revolutionizing your career path

You name any of the sectors or industries, whether it is finance, healthcare, e-commerce, information technology, or research and development, everywhere data insights need to be gathered for making predictions. As the data increases with the organizations, the demand for professional data analysts will also increase.
Once you start your career as a Data Analyst, you can easily progress to higher positions like data scientist, business intelligence analyst, or chief data officer. The skills you will learn from the professional certificate course will form a strong base for higher career success.

Where to enroll for a Data Analytics professional certificate course in Canada?

Envision Learning is a perfect fit for you if you are passionate about technology and looking to work on live projects which are above industry standards. Here, you will be trained by the best of the best instructors and trainers. You will be getting training as per your schedule both online and in person.
For more information, you can visit our website.

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Data analyst training and job placement

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Data analyst training programs and job placement opportunities can vary depending on your location and the specific organizations or institutions you engage with. Here are some general avenues to explore for data analyst training and job placement. Data analysis is a rapidly growing field with a high demand for skilled professionals. To become a data analyst, you can follow these general steps:

University or college programs: Many universities and colleges offer degree programs or certificates in fields related to data analysis, such as statistics, computer science, data science, or business analytics. These programs provide a structured curriculum that covers foundational knowledge and practical skills. Additionally, universities often have career services departments that can assist with job placement or internships.

Online courses and platforms: Numerous online platforms provide data analysis courses and programs. Websites like Coursera, Udemy, edX, and DataCamp offer a wide range of courses that cater to various skill levels, from beginner to advanced. These courses often provide certificates upon completion, which can enhance your resume. Some platforms also offer career services or job boards to connect learners with job opportunities.

Bootcamps: Data analysis bootcamps are intensive, short-term programs that focus on practical skills and real-world projects. They are designed to provide hands-on training in data analysis tools, programming languages, and techniques. Bootcamps often have partnerships with industry employers or provide job placement support to help graduates find employment.

Internships and apprenticeships: Consider seeking internships or apprenticeships with companies that employ data analysts. These opportunities provide valuable hands-on experience and can be a pathway to full-time employment. Reach out to companies directly or utilize online job platforms to find internship or apprenticeship positions.

Industry certifications: Some organizations offer certifications that validate your skills and knowledge in data analysis. For example, you can pursue certifications from the Institute for Operations Research and the Management Sciences (INFORMS) or the Data Science Council of America (DASCA). These certifications can enhance your credibility and marketability as a data analyst.

Job placement services: Some training programs or career counseling organizations specialize in job placement services for data analysts. They may provide assistance with resume writing, interview preparation, and connecting you with potential employers.

It’s important to conduct thorough research and carefully consider the reputation, quality, and credibility of the training programs and job placement services you encounter. Seek feedback from alumni or industry professionals to gauge the effectiveness and relevance of the programs. Additionally, actively participate in networking events, industry conferences, and online communities to expand your professional network and increase your chances of finding job opportunities in data analysis.

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