Data Analytics Bootcamp

BY
Springboard

Become an expert in the fundamentals of data analysis and launch your career with the course of Data Analytics Bootcamp by Springboard.

Mode

Online

Duration

6 Months

Fees

$ 8900 11300

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study, Virtual Classroom
Mode of Delivery Video and Text Based
Learning efforts 15-20 Hours Per Week

Course overview

The course of Data Analytics Bootcamp by Springboard is an extraordinarily framed course to build the appropriate aptitude in the candidates required for professionalism in the field of data analytics. Through this course, the candidates will be able to learn both the technical and business aptitude skills.

The course is an excellent opportunity for both experienced and inexperienced candidates who want to advance their data analysis skills. Candidates will be provided with in-depth knowledge of fundamental as well as core concepts of data analytics skills and business thinking techniques.  

Through this course, the candidates get to work on real-time projects which will help them apply their theoretical knowledge to practical projects. The course offers capstone projects which are an essence of the course of Data Analytics Bootcamp by Springboard.

The course is an elaborate learning option for those who want to establish their career as a data analyst. The course has a distinctive training approach that enables the candidates to improve their aptitude and business thinking skills with both theoretical and practical projects.

The highlights

  • A course certificate from Springboard
  • 6 months duration course
  • Lifetime access to springboard account
  • Mentoring sessions

Program offerings

  • Online classes
  • Capstone projects

Course and certificate fees

Fees information
$ 8,900  $11,300
certificate availability

Yes

certificate providing authority

Springboard

Who it is for

The certification course of Data Analytics Bootcamp by Springboard is strongly suggested for:

  • Professionals who want to improve their knowledge of the concepts of data analytics
  • People who want to build skills and understanding of the fundamental concepts of business thinking and data analysing techniques

Eligibility criteria

Work experience

The candidates are expected to have a work experience of at least 1 year

Education

The candidates should have a bachelor’s degree from an accredited institution with a preferable work experience of at least 1 year

Certification qualification details

The candidates will be able to attain the course certification for Data Analytics Bootcamp by Springboard if they successfully complete the course. The candidates will have to complete all the assignments and projects given

What you will learn

Sql knowledge Knowledge of data visualization

By the completion of the course, the candidates will have the knowledge of:

  • The candidates will be efficiently equipped with the knowledge of fundamental and core concepts of data analysis
  • The candidates will be able to build the knowledge of creating a powerful job-hunting strategy
  • The candidates will be able to master both the technical as well as aptitude skills required for a professional business analyst
  • Through this course, the candidates will be able to learn the methods on how to ace the job interviews
  • With the course, the candidates will be able to establish a practical as well as theoretical knowledge of data analysis techniques and skills
  • The candidates will be able to learn effective communication strategies to present the analytics and will also learn the way of building an appropriate communication chain
  • The candidates will be able to  implement the techniques of data visualization by using python and mastering its basics
  • The candidates will learn the skills of building a strong network of data analytics and how to use the concepts of SQL in analysing data

The syllabus

Topic 1: Structured Foundations

  • Learn structured thinking through case studies and problem statement worksheets
  • Work through problem-solving frameworks and processes, such as the HDEIP Framework, 7-Step Problem Solving Framework, and others
  • Break down problems to find a solution using Issue trees, hypothesis trees, and value-driver trees

Topic 2: Microsoft Excel for Business Analytics

  • Use logical operands and advanced Excel formulas and functions
  • Use pivot tables for well-structured data
  • Apply statistical functions
  • Create basic visualizations using tools like bar charts, waterfall charts, and column charts

Topic 3: Financial Analysis

  • Apply problem-solving and analytical skills to real-life data sets to derive business insights
  • Define financial terminologies such as revenue, cost of goods sold, earnings before interest, assets, liabilities, and profitability
  • Work on a case study covering creating a problem statement, value driver trees, revenue analysis, total operating expenses, EBIT calculations, and presenting your visualized data

Topic 4: Economics for Data Analysis

  • Study high-level economic principles like demand, supply, elastic goods, inelastic goods, monopolies, market supply, and cost curves
  • Develop business insights based on data analysis and economic principles
  • Complete a case study on cost-effectiveness and present it

Topic 5: Statistics for Data Analysis

  • Descriptive statistics concepts like mean, median, mode, spread, histograms, and box plots
  • Inferential statistics concepts like correlation, confidence intervals, margins of error, and regression
  • Continue with the case study and provide descriptive and inferential stats

Topic 6: Visualization Tools

  • Develop an advanced ability to use two visualization tools: Tableau and Power BI
  • Learn to prepare data, such as reshaping and removing bad data
  • Learn the basics of Data Analysis Expressions (DAX)
  • Work on a case study using the visualization tools you’ve learned

Topic 7: The Art of Storytelling

  • Learn effective communication strategies, formats, and templates
  • Make effective presentations to technical and non-technical stakeholders, including C-suite executives, through case studies

Topic 8: Data Connectivity

  • Learn SQL best practices in writing queries (including common table expressions)
  • Learn about structured and unstructured databases
  • Complete a mini-project focusing on extracting data from a database via SQL, analyze it, and present your insights

Topic 9: Data Analysis in Python

  • Learn basic Python syntax
  • Learn to use Git, GitHub, and Juptyer notebooks to share your code and projects
  • Learn to import and wrangle data
  • Work through practical exercises in Python with real data to extra insights

Topic 10: Projects

  • Capstone 1
  • Capstone 2

Topic 11: Career Support

  • Types of industry roles 
  • Job search strategies
  • Building a network and using it to land interviews
  • Creating a high-quality resume, LinkedIn profile, and cover letter
  • Preparing for technical and non-technical interviews
  • Successful negotiation

Admission details

The candidates are requested to follow the step-by-step guide given below to apply to the course of Data Analytics Bootcamp by Springboard without any inconvenience:

Step 1: The candidates have to visit the course website by clicking on the link provided below: https://in.springboard.com/courses/data-analytics-career-program-online/

Step 2: The candidates will be directed to the course website where they will find an option to login/sign-up

Step 3: If the candidates are a registered user of springboard they can continue with their login credentials, in case of the candidates being a new user they have to create an account with springboard with an email id and password

Step 4: Once the candidates have logged in to the account they will find an application form which they are required to fill by providing the details. The candidates will receive a reply for their application form within 2-3 business days

Step 5: If the candidate’s application is accepted they will be required to appear for an online interview or an aptitude test

Step 6: If the candidates successfully pass the interview or the aptitude test they will have to reserve their spot for admission by paying a certain amount of fee

Step 7:  The candidates can now get access to the course by simply following all the steps

Scholarship Details

The candidates get a facility of paying at the rate of 0% interest financing which the candidate can avail by choosing the option of EMI pay while paying the fees

How it helps

The course of Data Analytics Bootcamp by Springboard is framed in such a manner that provides a distinctive approach to training the candidates in the field of data analysis. The course focuses on building aptitude and analytics skills that are essential for a professional in the field of data analytics. Through this course, the candidates get detailed knowledge of both fundamental and core concepts of data analysis and business thinking skills.

The course offers its candidates a chance of working on capstone projects which will help them implement their theoretical knowledge gained from this course into practical knowledge to get a better experience of industry-related projects. 

The course will help the candidates in finding appropriate job opportunities and build an effective business profile. Through this course, the candidates will be able to know how to ace the interviews and build their data analytics network.

The elaborate course is made for both professionals and freshers who want to turn their basic data analysis skills and knowledge into advanced skills. The course also provides mentoring sessions to help the candidates improve their aptitude and communicating skills. 

The course is highly beneficial for those who want to embark on their career in the field of sales, marketing, project manager, and much more. The course gives the candidates an opportunity to enhance their understanding and competence in the line of data analytics.

FAQs

What is the eligibility criteria for pursuing the course?

The eligibility criterion for applying to the course of Data Analytics Career Track by Springboard is that the candidates should be graduates from an accredited institution with a work experience of at least 1 year.

Is there a scholarship facility provided for the course of Data Analytics Career Track by Springboard?

There is no relevant information about the scholarship facilities, however, the candidates get the option of paying the fees at 0% interest payment by choosing the option of EMI pay while paying the course fee.

What is the duration for the course of Data Analytics Career Track by Springboard?

The course of Data Analytics Career Track by Springboard has a duration of 6 months.

What is the procedure to obtain the certificate for the course?

The candidates will have to complete the course to attain the course certification. They will also have to complete the projects assigned.

What is the validity for the course of Data Analytics Career Track by Springboard?

The course has a lifelong validity for the candidates. The candidates can access the updated curriculum as well.

Will the course be available online or offline?

The course is completely an online course and can be accessed from anywhere.

How can I solve my doubts regarding the lessons?

The course instructors will conduct one on one video lectures for candidates to help them resolve their doubts and ensure a better learning process.

Do I need to purchase a specific course material for the course of Data Analytics Career Track by Springboard?

The candidates will be provided with online lectures and course materials framed by industry experts.

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