Become a Certified Data Scientist

Data Science is the process of analyzing and interpreting large amounts of data to extract useful insights and knowledge

Data Science is a broader field that involves using various techniques, algorithms, and tools to extract insights and knowledge from structured and unstructured data. Data Science involves not only analyzing data but also developing predictive models, creating machine learning algorithms, and building data-driven products.

On the other hand, Data Analytics focuses on extracting insights and useful information from data by analyzing it. It is a narrower field that involves collecting, processing, and performing statistical analyses on data. The main goal of Data Analytics is to uncover patterns and trends in data that can inform business decisions or improve operational efficiency.

In summary, Data Science is a more comprehensive field that includes Data Analytics, along with other techniques and tools for data processing, modeling, and product development.

Data analytics is the process of examining raw data using statistical and quantitative techniques to extract meaningful insights and information. It involves collecting, cleaning, processing, and analyzing data to identify patterns, relationships, and trends that can be used to make informed decisions. Data analytics is often used in scientific research, healthcare, and other fields where there is a large amount of data to be analyzed

Business analytics, is the use of data and statistical methods to drive business decisions and improve performance. It involves using data to identify opportunities for growth, optimize business processes, and make better decisions. It is often used in marketing, finance, and operations to improve performance and increase profitability.

In summary, data analytics focuses on the analysis of data to uncover insights and information, while business analytics focuses on using data to drive business decisions and improve performance.

We would like our learners to follow our curriculum and timeline to get the best out of this program. This program is time bound and our mentors will be following the curriculum to the dot.

We have 4 kinds of sessions in this program

Core session: Curriculum will be covered in this session.

Coding skills session: Basic coding skills and latest coding trends will be covered in this session

Soft skill session: Communication skills, Interview skills, GD skills, English communication etc will be covered in this session

Industry Expert session: Experts from global companies will give an insight about latest industry relevant topics, career journey, best practices etc.

Core sessions: 1 - 2 sessions per week will be there with a timespan of 1 - 1.5 hours. Maximum 30 learners per batch

Coding Skill, Soft Skill and industry expert sessions will be 1 session per week. This will be multiple batches combined sessions to drive community engagement.

Operating Systems: Windows 10 or 11 (Home or Pro), Mac: High Sierra or later, Linux: any recent distribution

CPU: Intel i5 minimum,Intel i7 or i9 preferred

Hard Drive: minimum 256GB

RAM: minimum 4GB

Learners will be given a capstone project which will be an industry relevant project. The Capstone project needs to be done as a team. Once the capstone project is completed within the stipulated time frame, our academics team will evaluate the outcome and once the completion is approved, you will be awarded the internship certificate.

The recorded videos in the app will be available for 1 year from the purchase date. Each batch (live sessions) will have a duration of 8 - 9 months.

Having a background in Computer Science, Mathematics, and Statistics can be very helpful in studying data science. However, it's not a strict requirement. Data science is an interdisciplinary field that involves many different areas of expertise, including computer programming, statistics, mathematics, and domain-specific knowledge

For example, if you are interested in data science in the healthcare industry, having a background in healthcare would be beneficial. Similarly, if you are interested in data science in the finance industry, having knowledge of finance and economics would be helpful.

That being said, a solid understanding of computer programming, mathematics, and statistics is crucial in data science. These skills are necessary to collect, clean, analyze, and visualize data. Without these skills, it can be difficult to manipulate data effectively, and draw meaningful insights from it.

Therefore, while having a background in computer science, mathematics, and statistics is not an absolute requirement to study data science, it is highly recommended to have a strong foundation in these areas

For a data analyst / business analyst job, learning coding is not mandatory, but it is beneficial. Having some knowledge of programming will enhance your ability to work with data and increase your efficiency and improve the job prospects.

For a data scientist / Machine learning engineer job, coding is an absolute must.

Data Analyst, Data Scientist, Financial Analyst, Market Researcher, Operations Research Analyst, Business Analyst, Business Intelligence Executive, Strategy Consultant etc.

Career support team will get in touch with the learner towards the end of the program. They will help the learner in resume building, interview skills and LinkedIn profile building. Upon successful completion of the program, the career support team will match the job opening with the eligible candidate and will refer the candidate to the hiring partner.

It is to be noted that the selection is completely hiring partner’s prerogative and it depends on the company hiring policies.

For data analyst you can expect the salary to start from 2LPA and can go up to 10 LPA. This completely depends on the company, the job location and primarily your skill set

Your chances of getting a job depends on multiple factors. Your skill set and the experience you gain by doing a lot of real world projects will help. However companies have hiring policies wherein they have restrictions on hiring people with extended career break, some academic backgrounds, age etc.

But if you complete this program and gain enough experience and skills, you will be able to get freelance opportunities and earn even if you are not meeting hiring eligibility criterias

Also, the career support team is region agnostic, which means we cannot guarantee an interview based on your location preference. Interviews will be arranged based on the matching skill set and eligibility with respect to the job opening. We have hiring partners Pan India.

• Software Engineers who wish to be Data scientists / Data Analyst / Business Analyst etc
• Entry level graduates who wish to start their career as data analysts
• Marketing / Finance / Healthcare professionals who wish to apply analytics
• Non technical business analysts
• Learners from any background can join the course who are interested in solving problem through data

The program can be taken by anyone who is interested in problem solving with a data centric approach. However the program is best suited for learners who have an undergraduate degree. High School and associate degree / diploma graduates can also pursue this program

After completing payment, users will get a welcome call from the User Happiness team within 24 hrs and a form will be shared to complete the profile. Users will be added to platforms (Slack / WhatsApp group) before the commencement of the batch.

You can watch the recorded videos on your mobile. However, to do the tasks and projects given to you, you should have a functioning laptop.

You can expect to learn problem solving with a data centric approach. How data can be used to solve business problems and take important business decisions. The curriculum consists of recorded content, live sessions, industry expert sessions, career coaching sessions and projects which will make you a skilled data science professional.

Just by joining this program, a new job / job switch should not be expected. You should be committed and devote 12 - 15 hours per week on learning, attending live sessions, and completing the projects given. You won’t be able to progress unless you are committed and focussed.

It would require at least 12-15 hours of time commitment per week from the learner’s side.

1. Eligibility for Refunds: Learners can avail a refund within 30 days of joining the batch. No refund request will be entertained under any circumstance after 30 days of joining the batch. Refunds are not applicable to the recorded video subscriptions.
2. Refund Process: To request a refund, learners must contact our User Happiness Team and raise the refund request. Our team will analyze the case and decide on the refund. If approved, learners will receive the refund within 30 working days after approval.
3. Learners will continue to pay the monthly EMI for loan (if applicable) and such loan cannot be canceled.
4. Refund Amount: Refund amounts will be determined based on the following conditions (Once your refund request is approved):
1. Before the batch starts, there will be an operational cost deduction of 20% of the paid amount or Rs 3000 whichever is the highest
2. Once the batch starts, a deduction of 40% of the paid amount or Rs 6000 whichever is highest will be applicable.
3. No refund requests will be entertained after 30 days from the date of batch commencement.
5. Exclusions: Refunds are also not applicable to learners who have completed more than 30 days in the batch.
6. Changes to the Refund Policy: We reserve the right to modify or update this refund policy at any time without prior notice. Any changes to the policy will be posted on our website

• If a Learner, due to unavoidable circumstances is unable to commence with the batch and requests for a deferral before the batch Commencement date, Learner will have an option to defer to another batch.
• There is no cost involved in changing the batch. However, you can raise a maximum of 1 batch change request and our academics team has to approve the batch change request.
• A Learner can request for deferral once to a batch which starts within the next 6 months from the batch start date of the initial batch the Learner enrolled for. For example if the initial batch commencement was January 1, the deferral batch commencement date should be within June 1.

• Learners can apply to defer a batch till 30 days from the commencement of the batch.
• Only one deferral request will be entertained once the batch commences.
• No additional fee is applicable for deferrals
• Post 30 days, no batch deferrals will be entertained
• The deferred batch will be a fresh batch and not from where the user paused the initial batch. For example if the learner paused the first batch when the topic was javascript, the new batch will be from beginning of the courseware and not from javascript