Become a Data Scientist. Job Guaranteed.

UNIT 1

The Python Data Science Stack

  • Python Data Science Tool Box
  • Data Visualisation in Python
  • Python Code Optimization
  • Hands On Projects
  • Capstone Phase :  Project Proposal

UNIT 3

Data Storytelling

  • Exploratory Data Analysis
  • Data storytelling and effective communication
  • Capstone Project : Data Storytelling

UNIT 2

Data Wrangling

  • Data Wrangling with Pandas
  • Working with Data in Files (JSON, CSV, Excel)
  • Working with data in databases
  • Collecting data from Internet
  • Hands On Exercises
  • Capstone Phase : Data Wrangling

UNIT 4

Statistical Method for Data Analysis

  • Frequent Inference and Descriptive statistics
  • Bootstrap Inference
  • Bayesian Inference
  • A/B Testing
  • Application Of Inferential Statistics
  • Advanced Resources
  • Hands On Exercises

UNIT 6

Data Science at Scale

  • Large scale data manipulation : Map Reduce
  • NoSQL databases
  • Distributed Computing Framework : Spark
  • SparkML and MLlib : Machine Learning at scale

UNIT 5

Machine Learning

  • Linear and Logistic Regression
  • SVM and Trees
  • Bayesian Methods and Text Data
  • Unsupervised Learning
  • Capstone Project

UNIT 7

Choose Your Data Science Specialization

  • The Generalist Track : Advanced Machine Learning
  • Natural Language Processing Track
  • Deep Learning Track

UNIT 9

Career Service

  • Take Home Challenges
  • Schedule Technical/Non-Tech Mock Interviews
  • Negotiation Skills
  • Craft Resume and LinkedIn Profile
  • Community Engagement

UNIT 8

Capstone Project

  • Data Science at Scale
    Machine Learning at Scale
  • or Natural Language Processing at Scale
  • or Deep Learning at Scale

Curriculum - What you’ll learn

The curriculum is split into 9 units, followed by your capstone project and career advice.

Course Structured for Working Professionals

Interactive Online Classroom sessions with Industry Experts

Weekly 1:1 Mentorship Calls with Leading Data Scientists.

Personalised Career coaching backed by Job Guarantee*

How Springboard prepares you for a Data Science career

Your Mentors come from: 

Duration:

6 months

Program delivery:

Online

No. of real life projects: 14

Fees: Start from Rs.1.95L

Apply before:

5th Dec, 2019

Build job ready skills

Master foundations of data science and choose your focus area: advanced machine learning, natural language processing, or deep learning.

Develop a professional portfolio

Complete 14 real-life projects, including two industry-worthy capstone projects to showcase your skills to employers.

Launch your dream career

Make yourself hireable with personalized career coaching and 1:1 mentorship from industry experts

Choose the Delivery Format which suits you the best

Get the perfect job with unlimited 1:1 career coaching

Career-focused course material is paired with personal coaching calls to help you land your dream job. You’ll have 6 scheduled calls, with unlimited access to more for upto 6 months after completing the program.


Create a successful job search strategy

Build your data science network

Find the right job titles and companies

Craft a data science resume and LinkedIn profile

Ace the job interview

Negotiate your salary

Start Application

Online Format

Duration: 6 months

Price: ₹1,95,000

  • Learn at your Own Pace
  • 24 1:1 Mentoring Sessions
  • 12 1:1 Career Coaching Sessions
  • Unlimited TA access for doubt clarification.


Learning Objective: How to follow best coding practices, and start using an ecosystem of useful and powerful Python-based tools.

Topics Covered:

1. Introduction to Data Science and Python
2. Visualization tools in Python - Matplotlib, Seaborn
3. Writing clear, elegant, readable code in Python using the PEP8 standard
4. Data analysis using SQL
5. Advanced SQL


Learning Objective: How to identify significant trends and characteristics of a data set, and tell a good story. This unit also paves the way for deeper analysis and actual predictive modeling

Topics Covered:

1. Theory of inferential statistics
2. Statistical significance
3. Parameter estimation
4. Hypothesis testing
5. Advanced SQL


Learning Objective: How to follow best coding practices, and start using an ecosystem of useful and powerful Python-based tools.

Topics Covered:

1. Introduction to Data Science and Python
2. Visualization tools in Python - Matplotlib, Seaborn
3. Writing clear, elegant, readable code in Python using the PEP8 standard
4. Data analysis using SQL
5. Advanced SQL


Learning Objective: How to follow best coding practices, and start using an ecosystem of useful and powerful Python-based tools.

Topics Covered:

1. Introduction to Data Science and Python
2. Visualization tools in Python - Matplotlib, Seaborn
3. Writing clear, elegant, readable code in Python using the PEP8 standard
4. Data analysis using SQL
5. Advanced SQL


Learning Objective: How to follow best coding practices, and start using an ecosystem of useful and powerful Python-based tools.

Topics Covered:

1. Introduction to Data Science and Python
2. Visualization tools in Python - Matplotlib, Seaborn
3. Writing clear, elegant, readable code in Python using the PEP8 standard
4. Data analysis using SQL
5. Advanced SQL


Learning Objective: How to follow best coding practices, and start using an ecosystem of useful and powerful Python-based tools.

Topics Covered:

1. Introduction to Data Science and Python
2. Visualization tools in Python - Matplotlib, Seaborn
3. Writing clear, elegant, readable code in Python using the PEP8 standard
4. Data analysis using SQL
5. Advanced SQL


Learning Objective: How to follow best coding practices, and start using an ecosystem of useful and powerful Python-based tools.

Topics Covered:

1. Introduction to Data Science and Python
2. Visualization tools in Python - Matplotlib, Seaborn
3. Writing clear, elegant, readable code in Python using the PEP8 standard
4. Data analysis using SQL
5. Advanced SQL


Learning Objective: How to follow best coding practices, and start using an ecosystem of useful and powerful Python-based tools.

Topics Covered:

1. Introduction to Data Science and Python
2. Visualization tools in Python - Matplotlib, Seaborn
3. Writing clear, elegant, readable code in Python using the PEP8 standard
4. Data analysis using SQL
5. Advanced SQL


Learning Objective: How to follow best coding practices, and start using an ecosystem of useful and powerful Python-based tools.

Topics Covered:

1. Introduction to Data Science and Python
2. Visualization tools in Python - Matplotlib, Seaborn
3. Writing clear, elegant, readable code in Python using the PEP8 standard
4. Data analysis using SQL
5. Advanced SQL

Online Live Classroom Format

 Duration: 9 months

Price: ₹2,65,000

  • Learn from Top-Rated Faculty 
  • 30 hours of Interactive Online Classroom Sessions
  • 30 1:1 Mentoring Sessions
  • 15 1:1 Career Coaching Sessions
  • Unlimited TA access for doubt clarification.

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