Course Highlights






About the Program
Data analytics is one of the most challenging but in-demand skills that help businesses optimize their performance and plan business strategies. This dynamic program can help transform aspirants into data analytics professionals. EduBridge’s Data Analytics course is the perfect solution for fresh graduates and working professionals.
Our primary focus is to build a workforce with the technical and professional skills required in the competitive IT industry. One can collaborate, learn, and develop real-time case studies with trending technologies through industry-based capstone projects, 1:1 career mentorship, mock interviews and much more.
In this Data Analytics course with Edubridge, our master trainers will train you with Data Visualization tools, Tableau programming languages like Python and R, Machine Learning and Predictive Analytics, Big Data Frameworks like Apache Hadoop and software like SAS. The entire content provides aspiring data analysts with comprehensive theory and practical knowledge driven by highly qualified professionals from the data science spectrum.
Our dedicated placement team will keep a tab on your interview progress and, if required, devise a plan for areas of improvement to get you employed. They will work with you during the program and provide one-on-one mentorship.
Recruiters are always looking for someone with the right analytical and logical thinking skills. Hence, an Expert Course on "Aptitude Skills" worth INR 3000/- is included in this course! Also, there are features like Communicate with Ease in English & Employability Skills (Soft Skills for Workplace), which will be helpful for learners from the career perspective and can be bought as an add-on.
Take a step forward and shape your career with our career acceleration program with guaranteed placement.
This course will,
- Help you become a master in data analytics along with Excel, R, and Python.
- Enhance and build your knowledge of SAS, the most widely used software for analytics.
- Assist you in using the VBA programming language and Tableau in analytics, which is one of the most in-demand data visualization tools.
- Give you the knowledge and introduce you to machine learning with Python and helps you build projects like e-mail spam classifiers, churning inboxes, and noise removal from images, along with a capstone project based on the dashboard.
- Develop your interpersonal and aptitude skills to make you job-ready.
We hope that you will gain the required knowledge from this program and demonstrate the skills learnt.
All the best!
Programming Languages and Tools Covered






EduBridge's 110% Money Back Job Guarantee Courses are designed to ensure that you are guaranteed a job after successful completion of the training course, else we refund 110% of the fees.
Let’s understand how placement assistance works at EduBridge




Advanced Certification Program in Data Analytics (with 110% Job Guarantee) course Minimum Eligibility










Syllabus
Syllabus
Capstone Projects
Industry Recognized Certificate for Data Analytics
EduBridge’s programs are designed to offer learners a pathway to placements and its certificate is an official credential for the learners.
Learners must have 85% of attendance in training program and 100% of attendance in placement counselling sessions.
On satisfying the attendance criteria and by successfully clearing the assessments with a 50% score and above, learners will be awarded a Certificate of Achievement.



Changing Lives, Transforming Careers
Frequently Asked Questions
To Know More About Learn And Earn please visit: https://www.edubridgeindia.com/learn-and-earn
To Know More About Secure Your Salary please visit: https://www.edubridgeindia.com/secure-your-salary
If you can't find the Course after you enroll for it, check your "My Courses" Tab for a list of your enrolled Courses. If you still cannot find it, contact our Support Team.
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
Yes, you can sign-up for the Data Analytics course even if you do not come from a technical background. However, having basic knowledge of programming languages and mathematics would be beneficial.
Yes. This Data Analytics course will teach you the fundamentals of programming languages, statistics, and industry standard techniques from scratch to build up your foundational knowledge and enhance your analytics career journey.
You must have a minimum of 70% attendance in the online classes to be able to utilize the services offered under the Interview Guarantee and Job Guarantee programs.
R, SAS, Python, Apache Hadoop are the predominant languages and frameworks used by Data Scientists and Data Analysts. Tableau and Excel are the most popular and effective analytics tools. All these technologies are covered in this course.
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.
Data Analytics is a discipline focused on extracting insights from data, including the analysis, collection, organization, and storage of data, as well as the tools and techniques used to do so. The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. Data analytics has become increasingly important in the enterprise as a means for analyzing and shaping business processes and improving 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.
Minimum attendance should be 70% and the course completion grade should be B+ and above in ExLAT.
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, analysis tool pack make it the most widely used tool by any analyst position like data analyst, business analyst, business intelligence analyst.
R in data analytics is used to handle, store and analyze data As a programming language, R provides objects, operators, and functions that allow users to explore, model, and visualize data. It can be used for data analysis and statistical modeling.
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.
Tableau is a powerful and versatile data analytics and visualization tool. Its drag-and-drop interface makes it easy to sort, compare, and analyze data from multiple sources, including Excel, SQL Server, and cloud-based data repositories.
"Yes, our Placement Manager will check the eligibility of learners in the first week of batch start and share the feedback/ areas of improvement. Communication in English will also be checked by the Placement Manager and if it is not up to the mark, we will add you in the upcoming batch of English communication."