Upskill & Transition to Data Analytics Role

6 months live structured program designed by industry experts to upskill & successfully transition to Data Analytics roles.

Next batch starts on February

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From This Program, You Will Gain

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All the Right Skills required to transition to Data Analyst roles

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Multiple Industry-Relevant Projects to showcase in your resume

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Career transition to top-tier Data-driven companies

Past Alumni Achieving Dream Career Switches

Akshit Aggarwal

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After joining Bosscoder Academy, I realised that Proper Guidance, Consistency and practice with projects can help you achieve anything. As a result, I got Placed, and looking forward to more achievements.

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Vritika Chaudhary

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I was always confused about what to study and what not to study for Data Specific interviews then I decided to join Bosscoder Academy. Mentors here are very supportive. Anyone who religiously follows the classes and is consistent can get his concepts very clear.

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Dream Career Switch Made Possible By:

Personalized Learning

Success Manager Ensures Personal Growth

Structured Curriculum

Covers all Concepts in Depth

Live classes by Top Data Scientists

Interactive Classroom with 4 Classes a Week

Regular 1:1 Mentorship Sessions

A Personal Mentor will be Assigned

Motivated Community

Learn with Like-minded Community

Recruitment Team

Get Diverse Placement Opportunities

Placement Support To Line Up Interviews

Profile Building

  • Resume Creation

  • LinkedIn Profile Optimization

  • Profile creation on other platforms

Interview Acing

  • Mock Interviews with expert mentors

  • Offline & Online Interview Preparation

  • Salary & Role Negotiation

Apply Right way

  • Opportunities in 250+ Partner companies

  • Referrals to almost all top product companies

  • Sharing hiring opportunities of different companies

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For every Bosscoder program enrollment, we contribute 1% towards the education of 'out of school' children.

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Structured Curriculum for a smooth transition to Data Analytics

Module 1 - DATA FUNDAMENTALS

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Duration: 6 Weeks

The first step towards becoming a Data Analyst, Data Scientist, or ML Engineer is to have strong command over the fundamentals of visualization, dashboarding & reporting of data.

Within this module, our goal is to become confident in data fundamentals.

Topics that will be covered:

1. Excel

  • Introduction to Excel and Formulas
  • Pivot Tables, Charts and Statistical functions
  • Google spreadsheets

2. SQL

  • Introduction to Databases & BigQuery Setup
  • Extracting data using SQL
  • Functions, Filtering & Subqueries Joins
  • Joins
  • GROUP BY & Aggregation
  • Window Functions
  • Date and Time Functions & CTEs
  • Indexes & Partitioning

3. Beginner Python

  • Flowcharts, Data Types, Operations
  • Conditional Statements & Loops
  • Functions
  • Strings
  • In-build Data Structures - List, Tuples, Dictionary, Set
  • Matrix Algebra, Number Systems
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USPs of our Delivery

  • All topics taught in live classes with limited batch size helping in instant doubt support to accelerate learning
  • Assignment (post-lecture) & their evaluation
  • Hyper-Personalied: Special focus on the individual with a constant touch from student success manager & mentor.

Module 2 - DATA ANALYSIS AND VISUALIZATION

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Duration: 6 Weeks

As a Data Analyst, Data Scientist, or ML Engineer, it is important we know how to break down business situations, design correct metrics & deal with uncertainty. Within this module, you will learn all of this.

Topics that will be covered:

1. Python libraries

  • Numpy, Pandas
  • Matplotlib
  • Seaborn
  • Data acquisition
  • Web API
  • Web scrapping
  • Beautifulsoup
  • Tweepy

2. Probability & Applied Statistics

  • Probability
  • Bayes Theorem
  • Distributions
  • Descriptive Statistics, outlier treatment
  • Confidence level
  • Central limit theorem
  • Hypothesis test, AB testing
  • ANOVA
  • Correlation
  • EDA, Feature Engineering, Missing value treatment
  • Experiment Design
  • Regex, NLTK, OpenCV

3. Tableau/PowerBI

  • Visual analytics
  • Charts, Graphs, Operations on Data & Calculations in Tableau/ PowerBl
  • Advanced Visual Analytics & Level of Detail (LOD) Expressions
  • Geographic Advanced Charts, and Worksheet & Workbook
  • Formatting
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USPs of our Delivery

  • Hyper-personalization: Depending on student-specific learning pace, multiple revision classes are organized
  • Assignments (post-lecture) & their immediate evaluation help to compare your performance against peers
  • The focus is not just to remember maths formulas but to help learners visualize the intuition behind concepts, enabling them to identify patterns
  • As you work on different business situation & product thinking, you gain a deeper understanding on what insights are important & what insights are not important for a particular scenario.

Module 3 - FUNDAMENTALS OF MACHINE LEARNING & DEEP LEARNING

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Duration: 8 Weeks

Mathematics is the foundation upon which Machine Learning & Deep Learning algorithms are built.

That is why, in this module, you will fall in love with mathematics as you solve engaging problems & build your solid foundations of Machine Learning & Deep Learning.

Topics that will be covered:

1. Advanced Python

  • Python Refresher
  • Basics of Time and Space Complexity
  • OOPS
  • Functional Programming
  • Exception Handling and Modules

2. Math for Machine learning

  • Classification
  • Hyperplane
  • Halfspaces
  • Calculus
  • Optimization
  • Gradient descent
  • Principal Component Analysis

3. Introduction to Neural Networks & Machine learning

  • Introduction to Classical Machine Learning
  • Linear Regression
  • Polynomial, Bias-Variance, Regularisation
  • Cross Validation
  • Logistic Regression-2
  • Perceptron and Softmax Classification
  • Introduction to Clustering, k-Means
  • K-means, +4, Hierarchical
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USPs of our Delivery

  • Hands-on Learning Experience
  • Learn maths from a case-study approach & Fall in love with Mathematics
  • Solve multiple real-life case study problems in live classes & understand the tradeoffs of each algorithm

Module 4 - GET PLACED AS DATA ANALYST AT TOP PRODUCT COMPANIES

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Duration: Until you get Placed

Once you have upskilled yourself to become a great data analyst, it is important that we now focus on getting you interview opportunities from diverse companies.

This process is usually of 3 phases:

  1. 1. Building a strong profile
  2. 2. Applying the right way
  3. 3. Acing the interview

We focus on all the above 3 objects in this phase.

Topics that will be covered:

1. Building a strong profile

  • Resume creation
  • LinkedIn Profile Optimization
  • Profile creation on other platforms

2. Applying the right way

  • Opportunities through Bosscoder collaboration with 250+ tech companies.
  • Referral to almost all top product companies.
  • Sharing hiring requirement of different companies.

3. Acing the interview

  • On Demand Mock Interviews
  • Offline & Online Interview Guidelines
  • Salary Negotiation
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Outcome

You getting placed at one of the top product companies like Google, Microsoft, Amazon, Apple & sharing us a personal review Of your journey with us.

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USPs of our Delivery

  • Student success manager stay connected with you throughout your placement journey to ensure you achieve best outcome.
  • Collaboration with 250+ companies for tech hiring
  • Collaboration with consultancies who hire for top tech companies
  • Referrals from our alumni & mentor community for almost all the companies.
  • Resume reviews, profile building increasing your chances of getting shortlisted.
  • On demand mock interviews with mentor before a specific interview.
  • 100% support from our team to help you succeeds

Learn from Industry Veterans

Instructors & Mentors

Rated highly by Working Professionals Upskilling with us, these Instructors and Mentors are working in Top Tech Companies and are familiar with best ways to crack these companies.
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Megha Roy
Data Analyst - IV - Uber
SRM University alum with three years in data analytics. Experienced in creating Tableau dashboards, utilizing unsupervised learning algorithms, & focusing on anomaly detection and predictive learning.
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Manish Garg
Co-founder - Bosscoder
An IIT Dhanbad alumnus. From Samsung's Machine Learning engineer to collaborating with Android's founder at Essential and leading Quoori's speech department, his journey is remarkable.
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PARIJAT ROY
Senior Data Scientist - Microsoft
Seasoned data scientist from Microsoft with 8 years of industry experience. Parijat specializes in NLP for analyzing feedback and improving Net Promoter Scores for Office products.
Industry-Relevant  Projects
These projects are based on real-world scenarios and utilize datasets sourced from real companies.
#1
Customer Segmentation for Personalized Banking Services
12 Hours
Goldman Sachs offers personalized banking services by segmenting their customers. Extract demographic and transactional data using SQL, analyze spending habits with Python, and visualize customer segments in Tableau for targeted marketing campaigns.
Python
SQL
Tableau
#2
Subscriber Engagement Dashboard
17 Hours
Netflix wants to increase viewer engagement. Develop a dashboard using Tableau that aggregates viewer activity data, using SQL for data extraction and Python to preprocess data, highlighting key metrics like watch time and search behavior to inform content strategy.
Python
SQL
Tableau
certificate
Elevate Your Career with Bosscoder's Industry Recognized Certification
Tailored to improve your professional skills and unlock new career prospects.

Our Alumni Placed At

Bosscoder is a platform to

  1. 1. Upskill in Data Analysis concepts with Hands-on projects, using Datasets from real companies.
  2. 2. Get interview calls from data-driven product companies to make a successful career transition.

Still, have questions? Let our program specialist help you out!

Fee Structure

Total Fee : Rs. 1,20,000/- Rs. 96,000/-

With our affordable EMI option, your fee can be as low as Rs. 7805/- month - that's even less than your monthly grocery bills.

Apply now

Next Batch starts on February

Are you a College Student, Working Professional or Graduated but not working? *