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DATA SCIENTIST

Collaborating with IBM, this course provides you with an exclusive feature of IBM hackathons, QnA sessions, and a masterclass with the best experts. This course also covers hands-on exposure to machine learning, Python, Tableau, Spark, and Hadoop interactively.

DATA SCIENTIST OVERVIEW

After completing this course, you will gain IBM certification for Data Science courses and Simplilearn certification for the courses. This course will also become important to testify your skills as an expert in Data Science.

DATA SCIENTIST KEY FEATURES

200+ Live courses with the experts in its industry

Live Data Science online classes by industry experts

Interactive course with IBM leadership

Includes live Master Classes and Ask me anything sessions

Capstone and 15+ real-life Data Science projects

Built on trusted datasets such as Amazon, Comcast, and Uber.

Tools Covered

OUR COURSE ADVISORS

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 Scientist

idr 15.000.000

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DATA SCIENTIST CURRICULUM

Who Should Enroll in this Program?

This course required an amalgam of experience, especially in data science, tools, and technology. This program is suited best to pursue a career in IT professionals, Business Analysts, Marketing managers, etc.

PRE-REQUISITES

No prerequisites are needed for this program. Having basic knowledge in digital marketing will be a plus point.

DATA SCIENTIST CERTIFICATION

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

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

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

DATA SCIENTIST REVIEWS

What other say about the program from Simplilearn

WHY ONLINE BOOTCAMP

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 SCIENTIST FAQS

Data science is a broad field that involves dealing with large volumes of data to uncover hidden trends and patterns and extract valuable information that aids in better decision-making. As companies are collecting massive amounts of data, they use various data science tools and techniques to build predictive models. Simplilearn’s Data Science training can help you learn all of its concepts from scratch.

In a Data Science course, you need to learn about so many concepts if you are a beginner or an intermediate. A Data Science course is a training program of around six to twelve months, often taken by industry experts to help candidates build a strong foundation in the field. Apart from the theoretical material, our online Data Science certification course includes virtual labs, industry projects, interactive quizzes, and practice tests, giving you an enhanced learning experience.

A Data Scientist is an individual who gathers, cleans, analyzes, and visualizes large datasets to draw meaningful conclusions and communicate them to the business leaders. The data is collected from various sources, processed into a format suitable for analysis, and fed into an analytics system where a statistical analysis is performed to gain actionable insights.

A question that I often hear from clients and colleagues is, “Why should I get a Data Science certification?” That is a fair question for most other areas of study and business. In areas such as finance or engineering, there are far more important accreditations you could and should achieve before “hanging your shingle” or trying to retool your skill set or career.

 

Data science is a broad discipline with a few accredited cetification programs. However, many of those programs are cost-prohibitive. 

 

“There are at least 50 Data Science certification programs by universities worldwide offering degree and diplomas in this discipline,” writes data science blogger, Zeeshan Usman. “It costs from $50,000 to $270,000 and takes one to four years of your life.”

 

And although somewhat new in the nomenclature, data science encompasses many skills that professionals may already have acquired through work or educational experience such as:

 

  • Programming
  • Statistics and statistical modeling: Descriptive, diagnostic, inferential, predictive, prescriptive
  • Data visualization: Box plots, scatter plots, and more
  • Machine Learning and modeling: Regression classification, clustering, and more.
     

Data scientists also need to have an understanding of and exposure to reproducibility, decision-making, and working with stakeholders and executives. So attaining a second (or third) degree may not be the best option for professionals looking to break into data science. Yet to be successful, they still need to communicate their experience, skills, and acquired knowledge to prospective employers.
 

A Fresh Perspective 


Put yourself in the position of a hiring manager; say her name is Paula. Paula has a couple of full-time openings for a Data Scientist. She has done a lot of research and has decided to hire at an entry-level. The person she hires will need to work with her and her staff of data scientistsbusiness analystsdata analysts, and business intelligence developers.

 

She has a stack of resumes to read through and she has several questions that need to be answered before she decides to set up phone interviews. However, Paula knows that curriculum vitae (CV) often do not align with the skills and experience needed for a Data Scientist position. She may see many CVs from college graduates, she may see many resumes from men and women with several years of work experience but without any practical data science experience. But since this is an entry-level position, she will likely not see any applicants with real knowledge in the field of data science.

 

So what should Paula focus on? How should she shortlist applicants for the phone interview? How can Paula know which of the applicants has a real, proven commitment to becoming a Data Scientist? She may very well focus on the resumes that list Data Science certifications along with any pertinent business experience! And if those certification programs have compulsory projects to complete, that’s even better. You can begin to build your portfolio of data science projects before ever landing a job. 

 

Data science is a fast-growing field. According to an article by Forbes, IBM predicts the demand for data scientists will grow by over 25 percent by 2020.  Budding Data Scientists need to get their resumes and CVs out there as soon as is practicable, but they still need to gain valuable experience with those data science skills mentioned above.  Data Science certifications are the quickest way to learn and hone the skills and techniques necessary to land that first data science job.

 

Furthermore, Data Science certifications allow students to learn and hone skills that won’t normally be acquired through work experiences, such as exploratory analysis skills, visualization skills, and data mining/machine learning algorithms.

 

So get your certifications in R, Python, and SQL. Or learn Hadoop or Apache Spark. Take some statistics courses. Practice everything you learn, every day.

This course co-developed with IBM will give you an insight into Data Science tools and methodologies, which is enough to prepare you to excel in your next role as a Data Scientist. You will earn an industry-recognized certificate from IBM and Simplilearn that will attest to your new skills and on-the-job expertise. This Data Science certification training will make you learn R, Python, Machine Learning techniques, data reprocessing, regression, clustering, data analytics with SAS, data visualization with Tableau, and an overview of the Hadoop ecosystem.

Professionals who do not have any prior knowledge of the field can easily begin with this Data Science certification training as you’ll gain a thorough knowledge of the basic concepts as well.

Yes, this Data Science course is suitable for recent graduates as well as experienced professionals who are willing to start a career in data science. There are no specific eligibility requirements to take this course.

The Data Science course can be completed in around six months if you dedicate a few hours daily to learning.

This comprehensive certification training incorporates the following Data Science courses:

  • Data Science with R Programming

  • Data Science with Python

  • Machine Learning

  • Tableau

  • Big Data Hadoop and Spark Developer

  • Data Science Capstone

Whatever your educational background, if you have an analytical mindset and are willing to step into the world of data science, you are eligible for this Data Science course.

This Data Science certification training will familiarize you with programming languages like Python, R, and Scala, as well as data science tools like Apache Spark, HBase, Sqoop, Hadoop, and Flume.

After you complete the payment, you will get notified of your successful enrollment through email. It will give you all the details regarding how to access the Data Science course material. Following the steps, you can go through the video lessons instantly.

Companies are embracing digital transformation and the growing dependency on data makes a career in data science quite promising. Businesses are accelerating their digital initiatives and data science skills will remain in high demand in the near future. Moreover, with the existing skills gap, companies are even ready to pay higher salaries to data scientists. With Simplilearn’s Data Scientist course, you can qualify for this rewarding career.

Data science is a vast field and people cannot gain expertise in it within six months or a year. Learning data science requires specialized technical skills along with knowledge of programming basics and analytics tools to get started. However, this Data Science course explains all of the relevant concepts from scratch, so you will find it easy to put your new skills to use.

Simplilearn’s Data Science course is unique because of the following major features:

  • It offers more than 220 hours of interactive, live learning
  • There are capstones and over 15 real-world projects involving datasets from Amazon, Comcast, and Uber
  • It offers IIMJobs Pro Membership (India only) for six months to help you build a resume and prepare for interviews
  • You can participate in exclusive hackathons and interact with IBM experts

As a part of this Data Science online course, in collaboration with IBM, you will receive the following:

  • Lifetime access to e-learning course syllabus for all of the Data Science courses included in the learning path (*only for Simplilearn courses)
  • Industry-recognized certificates from IBM*(for IBM Data Science courses) and Simplilearn upon successful completion of the program
  • USD 1200 worth of IBM cloud credits that you can leverage for hands-on exposure
  • 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
  • Python for Data Science

The course completion certificate offered after completing this Data Scientist Master’s Program does not expire.

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

 

Course


Course completion certificate

Criteria
Data Science with Python

Required

85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and score above 60% in course-end assessment and successful evaluation in at least 1 project

Machine Learning

Required

85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and successful evaluation in at least 1 project

Deep Learning with Keras and TensorFlow

Required

Attend 1 Live Virtual Classroom and successful evaluation in at least 1 project and score 70% for course-end assessment

Tableau

Required

85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and successful evaluation in at least 1 project

Data Science Capstone Project

Required

Attendance of 1 Live Virtual Classroom and successful completion of the capstone project

You can enroll in this Data Science 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 Science trainers are 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 to help you get certified in Data Science on 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 Science course with us.

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