Certification Program in Data Analytics

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Yes. The course offers real-time coding problems and assessments that will help the learners get a hands-on-experience of the course contents and help them master the various concepts of Data Analytics.

Though not mandatory, it is beneficial to have basic coding skills when learning or working as a Data Analytics professional.

Yes. The course offers real time coding problems and assessments that will help the learners get an hands-on-experience of the course contents and help them master the various concepts of Data Analytics

Assessments are visible to you in the 'My Courses' section. Your Trainer will activate this post completion of the sessions. Once the Assessments are activated, you will get a notification on your 'My Calendar' option about the same.

The tasks of Data Analytics involve providing operational insights into complex business situations. This also predicts the upcoming opportunities which the organization can exploit. Data Science is a field that contains various tools and algorithms for gaining useful insights from raw data. It involves various methods for data modeling and other data-related tasks such as data cleansing, preprocessing, analysis, etc. Big Data implies the large amount of data which can be structured, unstructured and semi-structured generated through various channels and organizations

At EduBridge, we are committed to delivering top-quality interview services to our learners. Our team works diligently to match learners with suitable interview opportunities in alignment with their skills and preferences. However, unforeseen circumstances can sometimes arise that may prevent us from fulfilling our commitment to provide interviews to the learner. In the unlikely event that we are unable to secure an interview opportunity for the learner, we offer a refund of INR 30000* on the Job Passport and INR 15000* on the Interview Passport. • Eligibility for Refund: The learner will be eligible for a refund if we have been unable to arrange interview opportunities as mentioned in the Terms & Conditions*. • Amount of Refund: The amount as mentioned above of INR 30000 and INR 15000 will be subject to full fees being paid by the learner. In case a learner has been awarded any discount on the course fees during enrolment, the said percentage of discount would also be adjusted during the refund. For example – Course Value is INR 80000 and during enrolment, learner was awarded a discount of 10% and therefore the net fees paid was INR 72000. In this situation, 10% would be deducted from the refund amount as well and in case refund situation arises, the amount refunded would be INR 27000 (for Job Passport) or INR 13500 (for Interview Passport). • Refund Process: To initiate the refund process, the learner must submit a written refund request to wecare@edubridgeindia.in. The request should include the learner's full name, contact information, and enrolment details. • Processing Time: Once we receive a valid refund request, our team will review the case and process the refund within 30-45 working days Refund Amount: The refund amount will be issued using the same payment method used during enrolment. • Non-Applicability: The refund policy will not apply if the learner falls into any of the criteria which make the service void. This has been detailed in the terms and conditions section as well. Please note that this refund policy is designed to provide a fair resolution in cases where we are unable to fulfil our commitment to secure an interview opportunity. We remain dedicated to assisting our learners to the best of our abilities and aim to achieve successful outcomes for all learners. If you have any further questions or require clarification regarding our refund policy, please do not hesitate to contact our customer support team.

The online live classes are of 3 hours. However, there are no mandatory daily timelines for the learn-by-yourself modules. You can dedicate as many hours as possible to those sections.

We have a dedicated calendar section on the Learner Portal. Here you can see your planned classes at least a month in advance. We also send out e-mails and SMS as reminders.

You must have a minimum of 70% attendance in the online classes to be able to utilise the services offered under the Interview Passport and Job Passport programs.

We follow a blended training approach here at EduBridge. There will be a mix of live trainer-led sessions, some videos with voiceovers and pre-recorded videos that are learn-by-yourself mode.

Don't worry! You can attend weekend doubt-clearing sessions, which are topic-based classes conducted by our Senior Subject Matter Experts. You will receive regular invitations and notifications on the portal, WhatsApp, or email.

You will be required to submit your PAN card, AADHAR details, Marksheets of 10th, 12th, and Graduation, Supporting educational certificates and any other requirements as mandated by the recruiters.

If the learner has work experience in a different field than the course they are enrolling in, they will be considered freshers and not as having relevant experience. Only relevant work experience in the said course is considered as a work experience learner in any course.

We hope that such a situation does not arise as we offer you 3 upcoming schedule options to choose from, so we hope you choose wisely. In an unfortunate event, when you do need to change the batch, you can request a batch change before you attempt the Entrance Level Test. You can change a batch only once in the lifetime of the course.

We at EduBridge, do not provide recordings. However, learners can access training content with voice-over on their Learner Portal.

Elite Learner's Club is a loyalty program for our learners that will offer continuous learning through our various services. Click here for more information: https://www.edubridgeindia.com/refer-and-earn

Data Analytics is a discipline focused on extracting insights from data, including the analysis, collection, organization, and storage of data and the tools and techniques used to do so. The chief aim of data analytics is to apply statistical analysis and technologies to data to find trends and solve problems. Data analytics has become increasingly important in the enterprise to analyze and shape business processes and improve decision-making and business results.

Data Analysis is the process of cleaning, transforming, and modeling data to find meaningful insights and make better decisions. In contrast, Data Analytics is a broad term that involves many diverse types of data analysis.

A Bachelor’s degree, preferably in Mathematics, Statistics, Computer Science, or related fields is with a minimum of 50% (or higher) if required for anyone to enroll in this course. Being familiar with Statistics, core Math concepts, programming basics (Python, R, or Java), and Linux fundamentals would be an added advantage.

This course covers Python, R, and SAS for data analytics and manipulation. It includes pandas and SQL for data analysis, Tableau and Excel for data visualization, as well as machine learning and big data tools like Spark. Hands-on experience with all these technologies is provided.

The following topics will be covered in this course : - Core Python & Advanced Python - Advanced Excel - R Programming - SAS - Tableau - Statistics

Excel is used in data analysis because it’s easy to learn and use. Its functions like vlookup, xlookup, pivot table, and analysis tool pack make it the most widely used tool by any analyst position like data analyst, business analyst, or business intelligence analyst.

Organizations view Data Analysis as one of the most crucial job specialties due to the value that can be derived from data. Data is more abundant and accessible than ever in today’s business environment. In fact, 2.5 quintillion bytes of data are created each day. With an ever-increasing skill gap in Data Analytics, the value of Data Analysts is continuing to grow, creating new jobs, and career advancement opportunities. By 2022, the World Economic Forum predicts that Data Analysts will be one of the top emerging jobs.