Frequently Asked Questions

There are several reasons why you should consider joining our program:

Intense Training: Our program provides 8 weeks of intense training where you will be exposed to real-life industry projects. This will give you hands-on experience in the field of data analytics and prepare you for a career in this industry.

Self-Learning: Our modern-day self-learning techniques will help you unlock your self-learning potential, which is essential in the fast-paced field of data analytics.

Mock-Interviews: We conduct mock-interviews for our students so that they are well aware and prepared for the interview that are asked by recruiters during the hiring cycle

Placement Assistance: We provide placement assistance once you have completed the projects and got them approved. Our Bootcamp will train you and make you job ready. We also take mock interviews to judge the skills that you have acquired during the training weeks.

Career Coaching: Our program offers the best career coaching, where mentors will help you build your resume, LinkedIn profile, Value Document, and teach you how to contact HRs. This will help you stand out from the competition and land the job you want.

Full Refund: We believe in the quality of our program and offer a full refund if you complete the program efficiently and with dedication.

In summary, our Data Analytics Program offers intense training, self-learning techniques, placement assistance, career coaching, and a full refund. Joining our program will prepare you for a successful career in data analytics. We look forward to welcoming you to our program.

Trainity provides live projects & online guaranteed internships with top startups to help students learn through practical and industrial experience and help them get their dream job in 12 weeks.
During the first 8 weeks of your training, You will master Data Analytics from beginner to advanced level through multiformat learning material (live classes + videos, quizzes, assignments, case studies, and projects). Get exposure to real-life industry-level projects.
In the last four weeks, you will be mentored by our career coach with an experience of over 7 years in the career coaching domain. This part of 4 weeks is called Career Coaching Bootcamp. In this boot camp, we will provide you with placement assistance by assisting you in building your Resume, Linkedin profile, Value Document, and how to contact HR's under the guidance of our mentors, access to contact details of 24k+ HRs from different companies of India, Mock Interview. You will have access to curated content in the form of a written manual or in the form of recorded videos, which has all the necessary information you would need.
We conduct a live free webinar, to attend that you need to register with us. The information regarding course fees and payment are provided in the session which has to be paid before you start the training.
For more information, you can visit our website - https://www.trainity.in/

Once you enrolled for the course, you should have received the details on your registered Gmail ID. Make sure you make the payment using your active gmail ID.

Portal link: https://trainity.space/

Login ID: The gmail ID that was used during the payment

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The program will start the day after you have successfully registered. The timings are flexible and you would be required to put 1-1.5 hrs/day as per your own schedule. Even if you have other commitments, you can simply decide to work more on holidays/weekends to complete your tasks & projects.
Each project submission will have due dates within which you need to finish the submission of the project. Otherwise, Marks will be deducted.

Trainity will provide you the learning material in the form of recorded videos, handbooks, case studies, assignments, projects & daily tasks would be available on your dashboard
There are total of 9 projects (8 projects + 1 Portfolio) and 8 Career Tasks , 1-2 Mock Interviews.

The whole program will be 12 weeks. At least 100 days will be given for the completion of all the projects. You need to submit them before 100 days. After the approval of all the projects, you will need to complete your career tasks. It should take 4 weeks but there is no deadline for submitting the assignments of career tasks.

You have lifetime access to the training material.

Data Analysts and Data Scientists are both roles within the field of data science, but they have different responsibilities and skill sets.

Data Analysts are primarily responsible for collecting, processing, and performing basic analysis of data. They use statistical tools and techniques to identify patterns, relationships, and trends within the data. They typically work with structured data and are expected to have strong skills in SQL, Excel, and data visualization tools. They also communicate their findings to stakeholders in a clear and understandable manner.

Data Scientists, on the other hand, are responsible for creating predictive models and algorithms to help organizations make data-driven decisions. They use statistical techniques, machine learning algorithms, and other analytical tools to identify patterns and relationships within the data. They are also responsible for cleaning and processing data, as well as for designing experiments and conducting hypothesis testing. They work with both structured and unstructured data and are expected to have strong skills in programming languages such as Python or R, as well as knowledge of machine learning algorithms and deep learning frameworks.

While both roles involve working with data, Data Analysts primarily focus on descriptive analytics, while Data Scientists focus on predictive and prescriptive analytics. Data Analysts tend to work with pre-existing data sets, while Data Scientists often need to extract insights from large and complex data sets.

In summary, Data Analysts focus on data analysis and visualization, while Data Scientists focus on building predictive models and algorithms. Data Analysts typically work with structured data and use statistical tools, while Data Scientists work with both structured and unstructured data and use machine learning algorithms and deep learning frameworks.

Microsoft 365 is a suite of software applications that includes popular tools such as Excel, Power BI, and Teams. As a Data Analyst, you may be using Excel extensively to analyze and manipulate data, and Microsoft 365 provides access to the latest version of Excel with additional features and functionality that may be useful in your work.

No worries, we have got your back. Check out this link which leads to the query raised on our Sleekapp. This app can only be accessed who have enrolled in our program. Here you can collaborate with other members just like you and buy the subscription today.
Office Subscription Request: https://app.sleekplan.com/feedback?preview_id=65479
Microsoft 365: https://www.microsoft.com/en-gb/education/products/office

We provide you with the learning material in the form of recorded videos and study material. The classes are recorded but we host live classes on new topics and new content updates.
The timings for these sessions would be shared on your dashboard and via Session Calendar. In case you miss attending these sessions, recordings would also be provided on your dashboard.
You will get the recordings in the Announcement Box. Log in using your laptop or PC and you will get the announcement box visible on the homepage.