- Learn about key data science skills
- Understand the six steps to the Data Science Method (DSM)
Online Data science career track
Achieve mastery over the foundation of data science and get guaranteed job by pursuing the programme of Data science ...Read more
Online
6 Months
$ 9900 13900
Quick Facts
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Medium of instructions
English
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Mode of learning
Virtual Classroom
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Mode of Delivery
Video Based
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Learning efforts
20-25 Hours Per Week
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Course overview
The Data Science career track certification offered by springboard is the only data science programme in India that comes with a job guarantee. This interactive online classroom programme designed by experts caters for individuals with professional requirements through 14 real-world projects including two industry-worth projects.
The programme will equip the learners with the knowledge of Python and its standard libraries, how to write clear and readable code in python using the PEP8 standard, time series analysis, SQL and NoSQL databases, application programming interfaces (APIs), usage of scikit-learn for implementing supervised and unsupervised algorithms, relational and non-relational databases and data wrangling.
Apart from this, the programme offers 1-on-1 interactions with data science career coaches to personally analyse the growth of the learner and to help them frame their job-search strategies, test their technical knowledge and to help them build their data science network.
Springboard is integrated with Linkedin so that learners can display the course completion certificate on their Linkedin profile which will help them land their dream job.
The highlights
- Weekly based one-to-one video calls with personal mentors.
- Lifetime access to springboard account
- No cost EMI option available via ZestMoney
- 1-on-1 mock interviews for testing behavioral and technical skills.
- Interactive online classroom sessions
- The facility of 1:1 sessions of career coaching
- Dedicated community managers to provide quick feedback on projects
- Personalized feedback feature to help in improving your portfolio, resume, and social profiles.
- 100% money-back guarantee if you do not find a job within six months of course completion.
- 1:1 mentoring sessions
- Certification provided by Springboard
Program offerings
- Capstone project
- Career coaching sessions
- Interactive online classes.
Course and certificate fees
Fees information
The Data Science career track certification fee of this course is mentioned below:
Fee Category | Amount |
Upfront discount | $13,900 |
Month to month | $1,890 per month up to 6 months |
Deferred tuition plan | $528 per month |
Climb Credit loan |
certificate availability
Yes
certificate providing authority
Springboard
Who it is for
The Data Science career track programme offers several benefits which cater to the professional requirements of different individuals.
This programme is strongly recommended for the following-
- Graduates and postgraduates who want to pick a data science career
- Individuals who aspire to build job-ready skills in any area of advanced machine learning, natural language processing, or deep learning.
- People who want to develop a professional profile by performing industry-worth capstone projects
- People who aspire to become data scientists and data analysts
Eligibility criteria
Education
For taking this course the candidate should have a strong knowledge of both probability and statistics and must be comfortable enough in programming to take up a new language using resources available on the web.
Certification qualifying details
After completion of the Data Science career track certification course, all the candidates will receive a certification of completion only if they complete the whole course and all the projects successfully. The candidate can also display the verified certificate on your LinkedIn profile.
What you will learn
After completing the Data science Bootcamp programme, the learners would be able to get important insights on:
- The candidates will be able to implement machine learning at scale on spark through SparkML and MLlib
- Candidates will learn how to use Python and its standard libraries
- Participants will be able to understand NoSQL databases and how are they different from SQL
- They will gain knowledge of how to build A/B split tests
- They will get an overview of relational and non-relational databases
- They will get an in-depth knowledge of application programming interfaces (APIs) and gain SQL skills.
- The participants will be able to build visualizations with Matplotlib and seaborn
- The candidates will learn the way of writing elegant, clear, readable code in python using the PEP8 standard
- Candidates will be able to get in-depth knowledge about the introduction of tools and libraries used in the field of data science and engineering.
The syllabus
Data Science Method
The Python data science stack
- Follow coding best practices in Python
- Learn Python data types, foundations, and standard libraries
- Learn Pandas
Data wrangling
- Submit ideas and a project proposal
- Review data types, build data profiles, and develop and understand your data's features
- Wrangle data for your second capstone
Machine learning overview
- Explore the fundamentals of machine learning
- Gain an understanding of the taxonomy of different types of ML algorithms
- Develop an understanding of best practices and common challenges that data scientists deal with when working on machine learning applications
Data storytelling
- Learn how to apply presentation techniques for executive (C-suite), technical, and non-technical audiences
- Prepare a presentation about a dataset of your choosing
- Give a presentation about the work you completed for your second capstone project
Capstone projects
- Capstone 1
You’ll be introduced to the six steps of the Data Science Method (DSM) early on in the program, then execute each of these critical steps through guidance from your mentor. You’ll practice each step before applying your knowledge to your second capstone. - Capstone 2
Similar to the guided capstone one, you’ll execute the steps of the DSM but with less guidance. You’ll develop a project idea and proposal, find and wrangle data, use exploratory data analysis techniques, pre-process and create a training dataset, build a working model, and then document and present your work. You’ll submit each step separately. - Capstone 3
Capstone 3 runs through the steps of the DSM, but you’ll choose your project idea depending on the specialization track you’re enrolled in.
Admission details
The Data Science career track online course admission procedure is very direct and simple.
Candidates may follow the given steps to register themselves-
Step1: Visit the official website https://www.springboard.com/courses/data-science-career-track/ of the course.
Step2: Fill in the required details and click on “start application”
Step3: To continue with the application, click on “I am ready to start” or press enter
Step4: Now enter your email id and click on “ok” or press enter
Step5: To complete your application, please answer some basic questions
Step6: Within 2-3 business days, you will get a reply regarding your application
Step7: You will receive a challenge that will test your programming and statistical skills if your application is selected.
Step8: If you qualify for the challenge, a registration link will be sent to you
Step9: Now to confirm your spot in the course you are required to make a payment of the fee.
Step10: From there you can choose the preferred payment plan for the balance amount.
Step11: Congratulations, you have successfully secured a spot in the course.
Evaluation process
After successful acceptance of candidates’ applications, to test their knowledge in programming and statistics, a challenge will be sent to them. The candidate is required to qualify for the challenge in order to take the course.
How it helps
The Data Science career track programme from Springboard is crafted by experts who understand the practical and theoretical demands of the profession and provides the learner with career-focused course material.
The Data Science career track training helps the candidate to efficiently validate and evaluate machine learning systems and to learn its implementation at scale on spark using SparkML and MLlib. A total of 14 projects are in the course that is evaluated by mentors, to provide experience related to real business problems and datasets.
When the course is halfway through, learners will get the option to choose a specialization among three topics of data science that are business insider, generalist track, and advanced machine learning track. These focus areas will help the learner gain experience in their desired interests within data science.
The Data Science career track classes give the candidates access to an exclusive community of mentors, career coaches, and peers, doubt resolution and detailed feedback on each project by community teaching assistants ensure world-class learning.
Six personal coaching calls are scheduled to help learners create a successful job search strategy, crack the job interview, frame a data science resume and Linkedin profile, how negotiate their salary, build the data science network and find the suitable job titles and companies. All these programme offerings help learners make their goals of getting a job with an attractive salary in the data science field achievable.
Instructors
FAQs
What does lifetime access to a springboard account mean?
After completing the course, learners will be given lifetime access to their springboard account, including the online community and office hours. They will also get an additional six months of access to external resources upon request, which ensures lifelong learning.
What topics will be discussed during the Data science career track classes ?
These topics will be discussed:
- Statistical inference
- Career services
- Data science at scale
- Capstone project
- The python data science stack
- Data Story
- Data wrangling
- Choose your specialization
What is the Data science career track eligibility criteria for taking this course?
The participant must have sound knowledge in probability and statistics and should be comfortable in programming to take up a new language using resources on the web.
How many hours of work will it be?
The data Science Bootcamp is a 500-600 hour course. Most students finish the course in 6 months, after working for 15-20 hours per week. About 6 months should be expected to complete this course, if the learner is very proficient in python and statistics and is ready to devote more time, they can complete the course in less than 6 months.
Who is this course for?
This course is highly recommended for:
- People who aspire to become data scientists or data analysts
- Who want to build career in data science
- Professionals working in the field of data science
- Graduates and post graduates who want pick data science career
What are the eligibility criteria and terms for the job guarantee?
In order to be eligible for a job guarantee, the given conditions should be fulfilled:
- Should be 18 years or older.
- Hold a bachelor’s degree in engineering from an accredited institution.
- Be good in both spoken and written English
- Be legally eligible to work in India for at least 1 year after graduation from the program
- Be able to pass any background verification associated with jobs that you apply for
- Apply to positions, devote sufficient time and effort, and will follow the job search process recommended by the career coaches.
- Note that while the different specialization tracks prepare you for a career in a specialized field, it cannot be guaranteed that your first data science position will be in that field.
I need help with payments. Do you offer to finance?
During enrolling for the Data science career track online course you can choose the no-cost EMI option to pay the price of the course. ZestMoney will enable you to pay using zero % interest financing.
Is this course conducted online or in person?
The Data Science career track certification course takes place entirely online. The only requirement is an internet connection.
How do I earn a certificate of completion?
A Data Science career track certificate of completion will be given to all the participants who successfully complete the course and all the projects. You can also display the verified certificate on your LinkedIn profile.