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A look inside the learner dashboard: classes, course content, notes, projects and the community around you.
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- 74,356+learners since 2016
- 750+hiring partners
- 15+centres in 10 states
- 2026Best Vocational Institute (Entrepreneur India)
Welcome back Sample
Hi, Learner 👋
You’re on Module 04 of Masters in Data Science. Keep going.
Your streak
Sample🔥 5 days
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Attend a class or submit a task each day to keep it going.
Today’s schedule
Full calendar ›- Module 04: Linear RegressionDivyanshu GuptaLive class
- Doubt-clearing sessionMentor deskDoubt support
- Capstone lab: data cleaningProject mentorLab
Sample timetable. Real batch timings are shared by your centre.
Assignments
View all ›- Regression practice notebookModule 04Due in 2 days
- Excel to Python data cleaningModule 03Submitted
- Capstone 1 problem statementProjectsDue in 6 days
- Statistics quizModule 02Graded · 8/10
Upcoming Mentor Hour
Data to Dollars
with Sushant Garg, Data Science Manager at Majid Al Futtaim, formerly Data Scientist at Blinkit
- WhenFri, 23 Oct · 12–2 PM IST
- WhereOnline
Placement readiness
Sample- Resume draft
- LinkedIn profile
- Mock interview
- Portfolio with capstones
Announcements
Sample- Mentor Hour on FridayData to Dollars with Sushant Garg, online.
- Capstone brief releasedModule 04 project brief is on the LMS.
- New openings on the job portalCheck job.skillcircle.in for roles from hiring partners.
Student of the month
Success stories
All alumni ›
Hardik GuptaLines Digital
Khushi DhingraAmroar
Sagar KumarNirwana AI Pvt. Ltd.
Masters in Data Science Data Science
Data science full course in Hindi (SkillCircle) · official SkillCircle YouTube channel (@SkillCircle)
About Course
6 months of live, advanced learning across 14+ modules with a globally recognised certification. Learn regression, machine learning, deep learning and NLP, work on 10+ capstone projects with mentors from industry, and get interview preparation for your first data science role.
What You’ll Learn
- Collect, clean and preprocess data, including missing values
- Build and interpret linear and logistic regression models
- Train and evaluate decision trees, random forests, XGBoost, SVM and K-NN
- Apply clustering with K-means
- Work with deep learning models in TensorFlow and Keras
- Process text and build sentiment analysis models with NLP
Other Data Science trainers: Roshan Jha, Prashant Srivastava, Akshay Gujare and Pravesh Grewal.
How long is the course?
6 months of live learning, in hybrid classes.
What will I build?
10+ capstone projects with mentors from industry.
Is there placement support?
Yes. Interview preparation and a minimum of 5 interviews via #JobCircle (T&C apply).
Who is it for?
Full-time professionals and students who want to work in data science.
Announcements Sample dashboard
- Mentor Hour this weekGuest session with an industry expert. Check your centre for timings.
- New project briefYour next project brief is on the LMS.
4.4/5 from 1,399 Google reviews of SkillCircle Connaught Place. A few 5-star Google reviews:
- KAKashishJaipur centre★★★★★
“Skill Circle is a great place to learn Digital Marketing. The trainers are knowledgeable, supportive, and explain everything clearly.”
- MAMayankRanchi centre★★★★★
“It's so honoured to have skill circle at Ranchi now. Excellency in digital and data based learning.”
- KAKapilMeerut centre★★★★★
“Great place to learn Data Science, Artificial Intelligence and Digital Marketing”
- SNSnehaHubballi centre★★★★★
“Skillcircle has genuinely made a difference for students in Hubbali. The courses are well-structured, content is updated regularly, and delivery is always reliable.”
Course content
- Data science vs. data analytics
- The data science workflow
- Tools and environments (Python, Jupyter)
- Concepts of Regression and Classification
- Data sources and collection
- Data cleaning and preprocessing
- Handling missing data
- What is regression analysis?
- Types of regression (linear, multiple, polynomial, etc.)
- Use cases and applications of regression in data science
- Simple linear regression
- Multiple linear regression
- Assumptions of linear regression
- Model interpretation and coefficients
- Model evaluation metrics (R-squared, MSE, MAE)
- Introduction to logistic regression
- Logistic regression vs. linear regression
- Binary and multinomial logistic regression
- Odds ratio and log-odds interpretation
- Model evaluation for classification
- Understanding machine learning
- Types of machine learning (supervised, unsupervised, reinforcement)
- Machine learning workflow
- Data cleaning and transformation
- Data scaling and normalization
- Handling missing data
- Cross-validation and train-test split
- Evaluation metrics (accuracy, precision, recall, F1-score)
- Bias-variance trade-off
- What is a decision tree? and How decision trees work.
- Decision Tree Splitting Criteria
- Dealing with categorical features.
- Advantages and Disadvantages of Using a Decision tree Algorithm.
- What is a Random Forest?
- The concept of bagging and boosting
- Random Forest Features and Hyperparameters
- Handling Imbalanced Data
- Feature Importance and Interpretability
- Introduction to Gradient Boosting
- Understanding boosting and the concept of weak learners.
- How XGBoost improves upon traditional gradient boosting.
- XGBoost Hyperparameters.
- Introduction to Naive Bayes
- Types of Naive Bayes
- Probability Distributions
- Training and Classification
- Introduction to Support Vector Machines
- Support Vector Classification (SVC)
- Support Vector Machines for Regression (SVR)
- Kernel Trick and Non-Linear SVM
- Introduction to Clustering
- K-Means Algorithm
- Objective Function and Optimization
- Challenges and Limitations
- Introduction to K-NN
- Distance Metrics
- Hyperparameter K
- Decision Boundary and Majority Voting
- Introduction to Deep Learning and TensorFlow.
- Convolutional Neural Networks (CNNs) with TensorFlow.
- Recurrent Neural Networks (RNNs) and Sequence Models.
- Advanced Deep Learning with TensorFlow and Keras.
- Tokenization
- Stop words removal
- Stemming and Lemmatization
- Text cleaning and normalization
- Tokenization
- Stop words removal
- Stemming and Lemmatization
- Text cleaning and normalization
- Bag of Words (BoW)
- Term Frequency-Inverse Document Frequency (TF-IDF)
- Word embeddings (Word2Vec, GloVe)
- Document-term matrices
- Sentiment analysis techniques
- Binary and multi-class classification
- Building a sentiment analysis model
Trainer
Ex-TCS (4 yrs)
Masters in Digital Marketing Digital Marketing
Hriday Kapoor’s journey with SkillCircle (student testimonial) · official SkillCircle YouTube channel (@SkillCircle)
About Course
4 months of live, advanced learning plus 1 month of specialisation in e-commerce or performance marketing and a 1-month in-house agency internship with AhujaMedia. Earn 25+ globally recognised certificates, including Amazon’s ATES training, and get interview preparation for your first marketing role.
What You’ll Learn
- Build digital marketing strategies for different business goals
- Plan and run SEO, including on-page, off-page and Google Business Profile
- Run organic and paid social media campaigns
- Set up Google Ads search, display, shopping and remarketing campaigns
- Track results with Google Analytics
- Run email, influencer, YouTube and e-commerce marketing
Other Digital Marketing trainers: Ravi Shankar, Ateequr Rahman, Raj Gaurav, Bishnu Kumar Mehta, Devendra Singh Chauhan, Mohd Arquam and Deep Upadhyay.
How long is the course?
4 months of live learning, 1 month of specialisation in e-commerce or performance marketing, and a 1-month internship.
Is there an internship?
Yes, a 1-month in-house agency internship with AhujaMedia.
How many certifications?
25+ globally recognised certificates, including Amazon’s ATES training.
Who is it for?
Students and professionals who want a career in digital marketing.
Announcements Sample dashboard
- Mentor Hour this weekGuest session with an industry expert. Check your centre for timings.
- New project briefYour next project brief is on the LMS.
4.4/5 from 1,399 Google reviews of SkillCircle Connaught Place. A few 5-star Google reviews:
- ZAZainConnaught Place centre★★★★★
“I had a great learning experience with Shobit Khurana at Skill Circle. His teaching style is practical and easy to understand, especially for beginners.”
- DIDivyamConnaught Place centre★★★★★
“I am currently learning digital marketing at Skill Circle under the guidance of Shobhit Khurana digital marketer and my experience has been really good.”
- SASanchiConnaught Place centre★★★★★
“Joining Skill Circle for digital marketing was honestly a really good decision for me.”
- KAKashishJaipur centre★★★★★
“Skill Circle is a great place to learn Digital Marketing. The trainers are knowledgeable, supportive, and explain everything clearly.”
Course content
- The Digital Landscape
- Elements & Platforms
- Brand Audit Digitally
- Target Audience
- Tofu
- Mofu
- Bofu
- Setting Up Your First Funnel
- ClickFunnels vs Normal Funnel
- Funnel Automation
- Design Thinking
- Types of Design Format for Different Platforms
- Design using Canva Pro
- Logo Making for Brands
- Using Biteable
- Veed.io
- Relevance of Blogging
- Platforms for Bloggers Earning
- Working on Blogger.com
- First 1000 Visitors to your blog
- Understanding of Domain Names
- Purchase of Web Hosting
- Tools, Themes & Plugin for Use and more
- First 1000 visitors to your website
- Building Site Architecture of your website
- Setup your own website WordPress panel
- Installing Themes
- Uses of Plugins, Tools, and more
- Setting Tracking Codes for your website
- Website Optimization for Mobile
- Importance of Optimization
- Why SEO?
- Google algorithm and how to avoid penalties
- Black Hat Vs White Hat Vs Grey Hat SEO
- On-Page Optimization (Meta Tags, Headers Tags, Image Tags and More)
- Off-Page Optimization (Quora, YouTube, Blogs, and more)
- Analysis of GMB Account
- Setup Local & International GMB
- SEO of GMB Area wise
- Managing Ratings and Reputation
- Quora
- Twitter (X)
- Snapchat
- YouTube
- Who is your customer?
- Where is your customer?
- What are your goals?
- When will you communicate?
- What differentiates you?
- How will you execute?
- Setting up a social media account
- Practices to follow on page
- Types of content on each platform
- Dos & Don'ts of posting
- Profile vs Page vs Groups
- Content Strategy - Videos/Reels/Posts
- Using Buffer & Hootsuite to schedule and publish
- Setting up a marketing plan for paid marketing
- Importance of Ads Panel
- Set-Up an Advertisement
- Choosing the right campaign objective
- Setting campaign budgets and bids
- Ads Placement and their importance
- Designing social media ads
- Importance and Ads key terms
- Keyword research
- Set up your first Google Ads campaign
- Search Ads, Display Ads, Shopping Ads, Remarketing Ads.
- Set Objectives of campaigns
- Review of campaigns
- Setting up a Google Analytics account
- Placing the tracking code on the site
- Setting up conversion tracking goals & events.
- Reading GA data
- Engagement of users in Social Media Platform
- Choosing the right influencer for your brand
- Micro vs Macro Influencers
- Launch your 1st Influencer Marketing Campaign
- Good Design Practices
- Do's and Don'ts of Design
- Understanding consumer psychology
- Case Studies
- Creating Channel
- Creating Attractive Thumbnails
- Types of YouTube Ads
- YouTube SEO
- Managing Insights
- Vidooly & Social Blade-Hands-on
- Types of Email
- Bounce rate vs open rate vs delivery rate
- Analytics and Optimisation
- Creating Lead Magnet
- Setting up Email Automation Workflow
- Email Marketing tools (Mailchimp, Mailerlite, etc)
- Creating the First Email Campaign
- Understanding of the Basics of Copywriting
- Rules and Guidelines for Copywriting
- Copywriting Process
- Copywriting Tools
- ORM today
- Customers expectation
- Methods to deal with a crisis
- Social Listening
- Factors to look at for E-Commerce Stores
- Product Listing on an E-Commerce Platform
- Payment Gateway Consideration
- Drafting First Freelancing Proposal
- Making Online Invoices
- Sales Pitch
- Lead Generation & Pitch Formation
- Business Automation
- Negotiation & Payment Setup
Trainer
8+ yrs experience
Skill Degree in Data Analytics Data Analytics
A look around SkillCircle Mumbai · official SkillCircle YouTube channel (@SkillCircle)
About Course
4 months of live learning across 14+ modules. Learn Excel, statistics, Python, SQL and Power BI, work on 10+ capstone projects with mentors from industry, and get interview preparation for your first data role.
What You’ll Learn
- Collect, explore and clean data with Excel and Python (Pandas, NumPy)
- Apply descriptive and inferential statistics, including hypothesis testing
- Query databases with SQL: joins, grouping and subqueries
- Visualise data with Matplotlib, Seaborn and Plotly
- Build interactive reports and dashboards in Power BI
- Present insights that support business decisions
Other Data Analytics trainers: Akshay Gujare and Pravesh Grewal.
How long is the course?
4 months of live learning, in hybrid classes.
What will I build?
10+ capstone projects across BFSI, FMCG, healthcare, automobile and entertainment.
Is there placement support?
Yes. Interview preparation and a minimum of 5 interviews (T&C apply).
Who is it for?
Full-time professionals and students who want to work with data.
Announcements Sample dashboard
- Mentor Hour this weekGuest session with an industry expert. Check your centre for timings.
- New project briefYour next project brief is on the LMS.
4.4/5 from 1,399 Google reviews of SkillCircle Connaught Place. We haven’t found Google reviews that mention the Data Analytics course specifically yet, so these are 5-star reviews of our centres. A few 5-star Google reviews:
- MAMayankRanchi centre★★★★★
“It's so honoured to have skill circle at Ranchi now. Excellency in digital and data based learning.”
- ISIshalMeerut centre★★★★★
“I had a great experience with SkillCircle. The team at SkillCircle Meerut is supportive, the learning environment is welcoming.”
- SNSnehaHubballi centre★★★★★
“Skillcircle has genuinely made a difference for students in Hubbali. The courses are well-structured, content is updated regularly, and delivery is always reliable.”
- ANAnkurHubballi centre★★★★★
“Really impressed with how they teach here, You don’t feel lost like in typical coaching classes. Great environment and consistent support, highly recommend”
Course content
- Introduction to Data Analytics
- Introduction to Data Science
- Applications and impact in various industries
- Benefits of Data Analytics for businesses
- Basics of Excel
- Data formatting
- Data calculations
- Data automation
- Sorting and filtering
- IF functions
- COUNTIF, SUMIF
- VLOOKUP
- Pivot tables
- Analysis using pivot tables
- Charts
- Dashboarding
- Qualitative and quantitative variables
- Population and sampling
- Sampling techniques
- Measures of central tendency
- Measures of dispersion
- Normal distribution
- Skewness and kurtosis
- Hypothesis testing methods
- T-test, Z-test, Chi-square test
- ANOVA
- Probability basics
- Common probability distributions
- Sampling and the Central Limit Theorem
- Introduction to Python
- Syntax
- Variables and operators
- Built-in keywords and methods
- Data types and data structures
- Flow control statements
- If-else statements
- Loops
- Defining a function
- Lambda, map, reduce and filter
- Classes and objects (OOP)
- Constructors and destructors
- Inheritance
- File handling and exceptions
- Introduction to EDA
- Libraries and modules used for EDA
- Importing and exporting data
- Getting data from web sources
- NumPy and its importance in EDA
- Arrays: creating, indexing and slicing
- Reshaping, concatenating and splitting arrays
- Filtering, boolean indexing, sorting and searching
- Working with missing data
- Statistical functions, linear algebra and random numbers
- Pandas and its role in EDA
- Series and DataFrames
- Indexing, selection and filtering
- Basic operations on Series and DataFrames
- Handling missing data
- Deduplication and data type conversion
- Merging and joining DataFrames
- Working with time series data
- Descriptive statistics and summarisation
- Grouping and aggregation
- Pivot tables with Pandas
- Working with text data
- Visualisation and its importance in EDA
- Basic concepts: figure, axes, plots
- Line, scatter and bar plots
- Basic plotting
- Customising and formatting plots
- Annotations
- Subplots and multiple plots
- Grids and complex layouts
- Statistical plots: line, scatter, bar
- Histograms, box, violin plots and heatmaps
- Categorical and distribution plots
- KDE and regression plots
- Line, scatter, bar, pie charts, heatmaps and area charts
- 3D scatter plots and line charts
- Annotations and text
- Geographical plotting and maps
- What is a database?
- Introduction to SQL
- Tables, rows and columns
- Setting up MySQL Workbench
- Basic queries: SELECT, FROM, WHERE
- INSERT INTO
- UPDATE
- DELETE FROM
- CREATE TABLE, ALTER TABLE
- SUM, AVG, COUNT and other functions
- GROUP BY
- HAVING
- Table relationships (foreign keys)
- INNER, LEFT and RIGHT JOIN
- Subqueries
- Power BI components and data sources
- Power Query Editor
- Data modelling, relationships and DAX basics
- Measures and calculated columns
- Visuals, slicers, filters, drill-through and drill-down
- Reports, dashboards and publishing to the Power BI Service
Trainer
Microsoft Azure Certified
Schedule Sample
Today
- Module 04: Linear RegressionDivyanshu GuptaLive class
- Doubt-clearing sessionMentor deskDoubt support
- Capstone lab: data cleaningProject mentorLab
This week
Class Doubts Lab Mentor Hour TestSample timetable. Classes are hybrid: at your centre or online, with batch timings set by your centre.
Assignments Sample
- Regression practice notebookModule 04Due in 2 days
- Excel to Python data cleaningModule 03Submitted
- Capstone 1 problem statementProjectsDue in 6 days
- Statistics quizModule 02Graded · 8/10
- Module 05 reading: classification basicsModule 05Due next week
Example tasks. Real assignments are set by your trainer on the LMS.
Free lectures
A sample of free sessions from the official @SkillCircle YouTube channel.
- Data science full course (Hindi)
- Do you want to become a Digital Marketer?
- Why Canva is a game-changer for creators
- 6-figure income roadmap: Digital Marketing + AI masterclass with Shivam Ahuja
- AI + Digital Marketing masterclass, Delhi NCR
- From Data Science to Digital Marketing: Shubham’s journey
Ask a mentor
Post a doubt
In the real portal, doubts go to your trainer and mentor desk. In this demo, you can send your question to a SkillCircle counsellor on WhatsApp.
Recent doubts
Sample- When should I use Random Forest over XGBoost?Answered by trainer · Module 13
- How do I handle missing values in pandas?Answered by mentor desk · Module 03
Doubt-clearing sessions are part of the weekly schedule.
Placement & Jobs
Placement readiness
Sample- Resume draft reviewed
- LinkedIn profile
- Mock interview with a mentor
- Portfolio with capstones
Placement support
- Resume building and review
- Mock interviews and interview preparation
- A minimum of 5 interviews via #JobCircle (T&C apply)
- 5-year placement support after you finish
- 750+ hiring partners
Certificate preview
SampleThis is to certify that
Learnerhas completed the
Masters in Data SciencePreview only. Certificates are issued on completing the course.Leaderboard & badges
Sample leaderboard- 1Learner A1,240 pts
- 2Learner (you)1,180 pts
- 3Learner B1,050 pts
- 4Learner C990 pts
- 🎓First class
- 🔥5-day streak
- 📝First assignment
- 🚀First capstone
- 🎯Mock interview
- 🏆Course complete
Names and points are placeholders that show how the leaderboard works.
Notes & Downloads
Class notes
Sample- PDF01: Introduction To Data ScienceNotes and practice sheetOn the LMS
- PDF02: Data Acquisition And CleaningNotes and practice sheetOn the LMS
- PDF03: Predictive AnalyticsNotes and practice sheetOn the LMS
- PDF04: Linear RegressionNotes and practice sheetOn the LMS
Enrolled learners get class notes and recordings on the SkillCircle LMS.
- Interview questionsFree resourceOpen ›
- Career roadmapFree resourceOpen ›
- SkillCircle LMSRecordings and notes for enrolled learnerslms.skillcircle.in ›
Projects & Capstones Sample
Masters in Data Science includes 10+ capstone projects with mentors from industry.
- Capstone 1: Sales Analytics DashboardPython · Power BI · SQLCompleted · 100%
- Capstone 2: Customer SegmentationPython · Machine LearningIn progress · 60%
- Capstone 3: Sentiment AnalysisNLP · Text classificationStarts in Module 18 · 0%
Example project themes and progress. Real capstone briefs are shared in class.
Community
- Upcoming Mentor HourData to Dollars with Sushant Garg (Majid Al Futtaim), Fri 23 Oct, 12–2 PM IST, online.View Mentor Hour ›
- MasterclassesGuest sessions with industry experts such as Rohit Soni (Doodle Project).Masterclasses ›
- Alumni network74,356+ learners since 2016.Placed alumni ›
Settings & Support
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