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This course is partnered with IBM that will transform you into an expert in the field of data analytics. In this program you will gain certification. You will be equipped with analytical tools and techniques. You will learn how to work with SQL databases, the language of R and Phyton. This course discuss about data visualization and how to apply statistical and predictive analytics over a business environment


After the completion of this course, you will obtain certification from IBM (for IBM Data Analyst Course) and also SImplilearn throughout the learning path process. These certifications will validate your skill as an expert in Data Analyst. You will be receiving the following:

  • IBM experts Masterclass
  • Interactive session with IBM  leadership 
  • IBM Hackathon
  • Industry-ready Data Analyst Master’s certificate recognized launched by Simplilearn 


Hackathons and Live interactive session with IBM Leaders

As well as Master Classes live and interactive Q&A sessions

8x more effective live interaction through live classes led by Industries Expert

8x more effective live interaction through live classes led by Industries Expert

15+ industry-based Analytics Projects and Capstone class

Based on Datasets by Google Playstore, Lyft, Worldbank.

Tools Covered


Training Options

Learn world class knowledge at your own comfort place. With self pace and online live training, you will benefit great knowledge and network from other students all over the world.

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Data Analyst

idr 15.000.000

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Who Should Enroll in this Program?

A career as a data analyst requires a foundation in statistics and mathematics. Aspiring professionals of any educational background with an analytical frame of mind are best suited to pursue the Data Analyst Master’s Program, including:

  • IT professionals
  • Banking and finance professionals
  • Marketing managers
  • Supply chain network managers
  • Beginners in the data engineering domain
  • Students in UG/ PG programs


For those who have the foundational knowledge of statistics and mathematics. Those Professionals who have any educational background in analytical frame are the ones who are suitable for this program. The following lists are those who are suitable for our Data Analyst program: 

  • IT professionals
  • Finance and banker professionals
  • Marketing Coordinator Manager
  • Supply chain network administrators
  • Beginners in the field of data engineering domain
  • Students or fresh graduates in UG/ PG course


Our Data Analyst course is exhaustive and this certificate is proof that you have taken a big leap in mastering the domain.

The knowledge and Data Analytics skills you’ve gained working on projects, simulations, case studies will set you ahead of competition.

Talk about your Data Analyst certification on LinkedIn, Twitter, Facebook, boost your resume or frame it – tell your friends and colleagues about it.



What other say about the program from Simplilearn


Develop skills for real career growth

Sharp and complete curriculum to guide you to become a well-prepared digital marketers

Learn from experts active in their field, not out-of-touch trainers

Having the best practitioners in the field that could lead to better practices and well-fitted work schedule’s case studies for your effectiveness

Learn by working on real-world problems

Giving Industry-based projects to make you adapt to real-world problems

Structured guidance ensuring learning never stops

Learning support that is always available for you through our student counselor and community


Data Analyst is a process of inspecting, cleaning, transforming and modeling data to discover useful information and support decision making to achieve business goals. There are various data analysis qualitative and quantitative methods and analytical or statistical tools used to extract the useful information and translate them into insights to make better business decisions,most of which are covered in this program.

Data analysts play a unique role among the many data-centric jobs often found in today’s businesses. A Data Analyst commonly works on collecting and interpreting data, analyzing the outcome, and reporting the results back to the relevant team. A Data Analyser also works closely with identifying patterns and trends in data sets, working alongside organizations within the business or the management team to establish business needs, define new data collection and analysis processes, and add real value to a company.

This Data Analytics certification course developed in collaboration with IBM will give you sufficient insights into data analysis tools and methodologies to excel in your next role as a Data Analyst. You will earn an industry-recognized certification from IBM and Simplilearn that will attest to your new skills and on-the-job expertise. The Data Analyst online course will train you on statistics essentials, SQL basics, data science, and data visualization using R and Python, Business Analytics with Excel, Power BI, and Data Visualization with Tableau Desktop 10.

Glassdoor reports the average base pay of Data Analysts is approximately $62,453 in the US and Rs. 500K in India. With Simplilearn’s Data Analyst certification, you can further improve your earning potential.

Data Analytics is one of the major areas to explore in this digitalized world. To learn data analytics, you need to have an in-depth understanding of SQL, Python or R programming, data visualization techniques, statistics, regression, and more. While you can get started on your own, it is recommended to enroll in a University partnered Data Analytics Bootcamp to learn data analytics from Purdue faculty. You’ll get up-to-date knowledge of the field and know about the strategies and best practices that are actually followed by companies.

This Data Analyst certification program consists of the following courses:

  • Introduction to Data Analytics

  • Business Analytics with Excel

  • Tableau

  • Power BI

  • Data Analytics with Python

  • Data Science with R Programming
  • Data Analyst Capstone

Yes, anyone embarking on a career as Data Analyst can take this course. Getting certified will demonstrate your seriousness towards the field and help you build a strong foundation of the data analytics concepts.

If you have a computer science or related background and you are good at mathematics, statistics, and dealing with data, then chances are a Data Analyst role will be a great fit for you. With accelerating digital transformation across all industries, data analysts will be in high demand in the future. You can get started with this Data Analytics course to develop the necessary skills to be successful.

This Data Analyst certification is suitable for professionals with programming experience as well as non-programming backgrounds. However, it is recommended to have a basic understanding of programming languages like SQL, Java, Python, or R.

This Data Analytics training gives you a step-by-step guide to master all the topics that a Data Analyst should know. Apart from the theoretical knowledge, you’ll get to work on projects which will make you industry-ready. The course is specifically curated to impart those skills that employers actually consider under the Data Analyst qualification.

There are many professionals who want to start a career as Data Analyst but skeptical about where to begin. Simplilearn has addressed this concern by helping candidates learn everything from scratch. So, beginners will find it easy to comprehend the course material right from day one.

Upon completion of this Data Analyst training, you will receive the certificates from IBM and Simplilearn for courses in the learning path. These certificates will testify to your skills as an expert in Data Analytics. You will also receive the following:

  • Lifetime access to e-learning content for all of the courses included in the learning path (*only for Simplilearn courses)
  • Industry-recognized certificates from IBM (for IBM – Data Analytics courses) and Simplilearn upon successful completion of the program
  • Access to IBM cloud platforms featuring IBM Watson and other software for 24/7 practice

Following are the list of courses for which you will get IBM certificates:

  • R Programming for Data Science
  • Data Analytics with Python

Yes, our Data Analyst certification course is completely online. You don’t need to attend classes at a physical location. You can access the course material anywhere using a system connected to the internet.

After you complete this Data Analyst certification training, you will become eligible to apply for various roles like data scientist, machine learning engineer, business analyst, financial analyst, data engineer, business intelligence analyst, and quantitative analyst.

Companies look for specialized technical skills when hiring a Data Analyst. Professionals who are skilled in data mining, statistics, core math, problem-solving, and storytelling fare better for the role of a Data Analyst. Good communication skills are also necessary as data analysts have to share their findings with the team and various stakeholders involved in any project. You can build all of these skills with our Data Analyst training.

Upon completion of the following minimum requirements, you will be eligible to receive the certificate that will testify to your skills as an expert in Data Analyst.

CourseCourse completion certificateCriteria
Introduction to Data AnalyticsRequired85% of Online Self Paced completion
Data Analytics with PythonRequired85% of Online Self Paced completion
Data Science with RRequired85% of Online Self Paced completion or Attendance of 1 Live Virtual Classroom, And Score above 75% in the course-end assessment And successful evaluation in at least 1 project
Business Analytics with ExcelRequired85% of online self-paced completion  and successful evaluation in at least one project
Tableau Desktop 10 TrainingRequired85% of online self-paced completion  OR attendance of one live virtual class and successful evaluation of at least one project
Power BIRequired85% of Online Self Paced completion
Data Analyst CapstoneRequiredAttendance of one Live Virtual Classroom AND successful evaluation in at least one project

Simplilearn’s Data Analytics course has a rigorous curriculum designed by industry experts. It is recommended that you follow the lessons in the same order as detailed in the learning path for the best learning experience.

You can apply for data analytics related job roles as an entry-level professional after you complete this Data Analyst training. The opportunities for data analysts are not limited to the IT industry but exist in other areas like marketing, finance, pharma, and retail.

You can enroll in this Data Analyst certification training on our website and make an online payment.

Once payment is received you will automatically receive a payment receipt and access information via email.

Contact us using  the Live Chat on the bottom right

All of our highly qualified Data Analyst course trainers are business intelligence industry experts with years of relevant industry experience. Each of them has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating remain on our faculty.

Our teaching assistants are a dedicated team of subject matter experts here to help you get certified as Data Analyst in your first attempt. They engage students proactively to ensure the course path is being followed and help you enrich your learning experience, from class onboarding to project mentoring and job assistance. Teaching Assistance is available during business hours.

We offer 24/7 support through email, chat, and calls. We also have a dedicated team that provides on-demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after completion of your Data Analytics course with us.

Yes, Simplilearn provides a PG program in the Data Analytics domain in partnership with Purdue University. The Post Graduate Program in Data Analytics will give you broad exposure to key technologies and skills currently used in Data Analytics and Data Science, including Statistics, Python, R, Tableau, SQL, and Power BI.



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