Key Highlights

This course enables you to build your profile and work as a data analyst with startups, SMEs and large companies, top executives, as a well paid freelancer, and other remote opportunities.

You don’t have to be a software engineer, data scientist or lawyer to benefit from international remote work - people having skills and building profile in the ways taught in this course are always in great demand

We will teach in demand skills like machine learning and AI that will make you an integral part of big data companies and ensure that you are paid at least $40-$65 per hour

Why did we make this course?

Are you struggling in a dead end job that pays too less and forces you to be stuck in a cubicle?
Do you want more freedom while you get paid well for your work?
Are you a student in need to have a supplemental side income? Are you a parent who needs more time to spend with their family without giving up on their career?
Do you belong to a small town where good job opportunities are hard to come by?
Are you someone who doesn’t have a professional degree and still wants to earn well?
Are you someone who is struggling because no one notices your profile?
Do you want to explore the world as a digital nomad while earning handsomely by working a few hours every day no matter where you are?
Are you someone who tried to make a profile on freelance platforms but couldn’t get any work?
Is Data Quality and Data Availability a challenge for you?
Is ensuring Data Privacy a challenge for you?
Is managing and analyzing Data computationally intensive for you?
Do you find choosing the right algorithm a problem?

Imagine

Going from managing someone else's schedule to wielding the power of information itself!
As a data scientist, you'll be the hero behind the scenes, helping businesses make smarter decisions, optimize processes, and reach new heights. Forget $10 an hour – your expertise commands a premium, with your monthly income reaching well into the six figures.
The world is your office. No more yearning for travel brochures – with data science, the world comes to you. Collaborate with international teams, analyze global trends, all from the comfort of your home or a beachside café with Wi-Fi.
Unlike fancy degrees, data science rewards your curiosity and analytical prowess. No need for years of classroom lectures – with the right online courses and dedication, you can be job-ready in a fraction of the time.
The best part? You don't need a CEO's pedigree. Sharp problem-solving skills, a knack for numbers, and a love for uncovering hidden patterns are all it takes. Age, location, past experience – none of it matters. Data science is a meritocracy that rewards your talent and drive.
Ready to trade in the mundane for the extraordinary?
Dive into the world of data science. Invest a few hours a day for a few months, and unlock a future brimming with possibilities. The only qualification required? A curious mind and the desire to make a real difference.
We can train you for this role in 6 months, and all you need is to study with us for 2 hours a day for those 6 months.
Only qualification needed: good English communication, ability to use a computer and the internet.
Age, location, lack of experience - no bar.

Who should take this course?

College students who need to become financially independent
Graduates and people who doesn’t have some professional degree and who are struggling to find a job that pays them well
Anyone with good good understanding of technical skills skills who is earning less than $50,000 annually
Those who live in a small town or villages and do not find good job opportunities locally.
Parents of young children who want to work part time from home without having to commute to work
People having medical conditions which doesn’t allow them to do a regular job and earn well
Any professional who wants to escape the cubicle lifestyle and work as a digital nomad
Individuals who already operate as freelancers but wish to broaden their skill set or boost their earning potential are considered freelancers looking to improve their skills.
People are seeking alternative careers, those who want to change careers but require new abilities to make the transition.

What is the career potential after doing this course?

You will become data translator, transforming complex datasets into clear, actionable insights that empower businesses to make smarter decisions.
You will be able to work as a Machine Learning Engineer where you will design and build intelligent systems that learn and improve over time, tackling challenging problems across various industries.
You will also be able to work as a Business Intelligence Ananlyst and bridge the gap between data and business strategy, providing leadership teams with critical insights to drive growth and innovation.
The course will equip you for the position of a Data Engineer where you will build and maintain the robust infrastructure that houses and processes massive datasets, ensuring the smooth flow of data for analysis.
You will also be able to perform as a Data Visualization Specialist and craft compelling data stories that inform, inspire, and engage audiences, turning complex information into easily digestible narratives.
You will be equipped to craft a stellar Data Science Portfolio and showcase your skills and experience to stand out from the crowd and land your dream data science job.
You will be able to master High-Demand Skills and identify the most sought-after data science expertise and highlight them on your profile to make a powerful first impression.
If you want to be a digital nomad, you will also be able to become a Freelancing Pro. We'll guide you through creating profiles and listing your services on leading freelance platforms like Upwork and Fiverr.
You will Craft winning proposals that compel clients to choose you for their projects, showcasing your unique value proposition.
And most importantly, you could land Your Dream Job and Get unmatched placement support, from job sourcing and application writing to interview preparation techniques. We'll equip you with the tools and confidence to ace your interviews.

Money-back guarantee

If you take this course, follow it diligently for a month, attend all classes and do all the exercises but still do not find value in it, or are not able to understand or follow it or not find it good for any reason, we will refund the entire course fee to you. It is a 100% money back guarantee with only one condition, you must pursue it properly for a month. If you don’t find it valuable after that, get your entire money back.

View Refund Policy

Training Methodology

Online 24/7 access

Access to basic study material through an online learning management system, Android and iOS app

Hard Copy Study Material

Hard copy study material modules to be couriered to your address

Practical Exercises

2 practical exercises (in 1 assignment) every week, followed by practical assignments and feedback sessions on your submissions

Live Online Classes

Based on the exercises, there will be a live video-based online class.

Live Doubt Clearing

You can ask questions, get your doubt cleared through unlimited doubt clearing sessions

Placement

Placement assistance for securing job and internship opportunities and assistance for securing freelancing opportunities

Which hands on projects will you do in this course?

Peak Traffic Time in City - This study offers in sight into vehicle flow that can be useful for traffic study and management.
Face Expression Recognizer - In this project, you will learn to use computer Vision Techniques to detect Human Emotions such as Angry, Sad, Happy, Disgust, Fear, etc. to build a Facial Emotion Detector.
Drugs Prescription using Reviews - In this Project, you will learn how to deal with Data having Textual Features, you will also learn NLP Techniques to transform and Process the Data to find out Important Insights.
Air Quality Prediction - In this Project, you will learn to forecast the Air Quality Index of places with Time Series models like ARIMA, SARIMA, and SARIMAX. Also, as pollution levels increase in winter. So, these models can identify the seasonal trends as well.
Stock Market Prediction - In this Project, you will learn to analyze and the Stock Market Prices using Time Series Forecasting, Advanced Deep Learning Models and different Statistical features.
Inflation Rate Forecasting - In this project, you will learn how to forecast the inflation rates. You will use the Seasonal Autoregressive Integrated Moving Average, or SARIMA, Method for time series HICP forecasting with univariate data containing trends and seasonality.
Predict the Height and Weight of a Person - In this project, you will explore and prepare a dataset to predict the height of a person based on their age, gender and weight.
Determining Status of Loan Application - In this Project Course you will learn how to Implement a Classification Analysis Predictive Model for Determining whether a Person should be Granted Loan or Not.
Open Job Analysis and Recommendation - You will analyze the factor and metrics for Quality Oriented Jobs by searching relevant jobs using Recommenders Systems.
Sample Superstore Orders Data Analysis using Excel - In this project, you will analyze the sales data and identify weak areas and opportunities for Super Store to boost business growth.

Syllabus

MODULE 1: FOUNDATIONS OF DATA SCIENCE & AI IN BUSINESS

Skills Learned:

- Understanding Data Science, AI, and their business impact.
- Python programming for data handling and analysis.
- Data cleaning and preprocessing techniques.

Case Studies:

- Retail Sales Insights: Analyzing sales trends for a small business.
- AI in Business: Exploring AI adoption trends across industries.
- Google Colab & ChatGPT in Data Science: Using AI for coding assistance.

MODULE 2: EXPLORATORY DATA ANALYSIS (EDA) & VISUALIZATION

Skills Learned:

- Data exploration, pattern detection, and anomaly identification.
- Data visualization using Matplotlib, Seaborn, and interactive dashboards.
- Statistical analysis for business decision-making.

Case Studies:

- Website Traffic Analytics: Identifying user behavior and trends.
- Sales Performance Visualization: Creating dashboards for KPI tracking.
- Customer Segmentation: Using data clustering for targeted marketing.

MODULE 3: AI-POWERED AUTOMATION & PRODUCTIVITY

Skills Learned:

- Automating data workflows with Python and AI tools.
- API integration and real-time data processing.
- AI-assisted decision-making in business environments.

Case Studies:

- Automated Sales Reporting: Streamlining data processing for efficiency.
- AI Chatbots for Customer Support: Implementing NLP-based automation.
- Business Productivity with AI: Case study on AI-driven operations.

MODULE 4: INTRODUCTION TO MACHINE LEARNING & PREDICTIVE ANALYTICS

Skills Learned:

- Understanding supervised learning and regression models.
- Data preparation and feature engineering for predictive models.
- Evaluating model performance and making business forecasts.

Case Studies:

- Financial Forecasting: Predicting sales trends using Linear Regression.
- Marketing Campaign Success Prediction: Estimating ROI from ads.
- Healthcare Predictions: Analyzing patient outcomes using ML models.

MODULE 5: DATA WRANGLING & ADVANCED PYTHON FOR BUSINESS ANALYTICS

Skills Learned:

- Handling missing data and outliers in real-world datasets.
- Advanced Pandas operations for large-scale data processing.
- Merging and transforming datasets for business intelligence.

Case Studies:

- Marketing Campaign Analysis: Evaluating performance across platforms.
- Customer Behavior Analysis: Identifying purchasing trends.
- Supply Chain Optimization: Improving inventory forecasting.

MODULE 6: SQL & DATABASES FOR DATA SCIENCE

Skills Learned:

- Writing SQL queries for data extraction and analysis.
- Performing joins, aggregations, and subqueries.
- Using SQL with Python (SQLite, PostgreSQL) for data integration.

Case Studies:

- E-commerce Data Analysis: Analyzing customer orders and revenue trends.
- CRM Database Optimization: Structuring data for better business insights.
- Retail Performance Metrics: Identifying best-selling products and locations.

MODULE 7: ADVANCED DATA VISUALIZATION & STORYTELLING

Skills Learned:

- Creating impactful visual narratives using Python, Tableau/Power BI.
- Interactive and real-time data visualization techniques.
- Best practices for presenting insights to stakeholders.

Case Studies:

- Executive Sales Dashboard: Visualizing key business metrics.
- Stock Market Trends: Analyzing financial data through interactive charts.
- Geospatial Analysis: Mapping customer distribution for targeted marketing.

MODULE 8: BUSINESS ANALYTICS & A/B TESTING

Skills Learned:

- Understanding key business metrics and performance indicators.
- A/B testing and experimentation for decision-making.
- Statistical significance and hypothesis testing.

Case Studies:

- Marketing Email Optimization: Measuring conversion rates through A/B tests.
- Customer Churn Reduction: Identifying retention strategies.
- Financial Portfolio Analysis: Comparing investment strategies.

MODULE 9: SUPERVISED LEARNING – REGRESSION & CLASSIFICATION MODELS

Skills Learned:

- Building and optimizing regression and classification models.
- Evaluating performance metrics (RMSE, accuracy, precision-recall).
- Feature selection and model tuning for better predictions.

Case Studies:

- House Price Prediction: Using ML models for real estate valuation.
- Loan Default Prediction: Assessing financial risk using classification.
- Customer Lifetime Value (CLV) Estimation: Forecasting long-term revenue.

MODULE 10: UNSUPERVISED LEARNING & CUSTOMER SEGMENTATION

Skills Learned:

- Implementing clustering techniques (K-Means, DBSCAN, Hierarchical).
- Identifying business insights through customer segmentation.
- Dimensionality reduction techniques for handling complex data.

Case Studies:

- Customer Loyalty Analysis: Segmenting users for personalized marketing.
- Fraud Detection: Identifying anomalies in transaction data.
- Retail Product Recommendations: Grouping similar products for upselling.

MODULE 11: NATURAL LANGUAGE PROCESSING (NLP) & AI TEXT ANALYTICS

Skills Learned:

- Text preprocessing and sentiment analysis.
- Named entity recognition and topic modeling.
- AI-powered automation for text-based data.

Case Studies:

- Social Media Sentiment Analysis: Measuring public opinion on brands.
- Chatbot Development: Implementing an AI-driven FAQ assistant.
- News Topic Extraction: Identifying key themes from media articles.

MODULE 12: CAPSTONE PROJECT – AI-POWERED BUSINESS SOLUTION

Skills Learned:

- End-to-end implementation of a real-world AI project.
- Integrating machine learning, data visualization, and analytics.
- Presentation and storytelling for business impact.

Case Studies (Choose One for Capstone):

- AI-Based Customer Retention Strategy: Predicting and preventing churn.
- E-commerce Sales Forecasting: Using ML for demand planning.
- AI-Driven Financial Risk Assessment: Predicting loan defaults and credit risk.

Languages and Tools Covered

Our Data Analytics Trainers

Josh Temin

Data Science Leader, Data Product Developer

Vicky Ikonomidou

Associate Professor at George Mason University

Note: This is an indicative list of our guest faculty members and not an exhaustive list. We may change the faculty members at any point based on availability.

Course Plan

Above prices are inclusive of all applicable taxes and charges.

Standard

RS. 2499 incl. of all charges

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- Printed study material (by courier)

- 1 online live class/ week

- 2 practical or drafting exercises per week

- Get digital access to entire study material

- Access on LMS, Android & iOS app

- Instructor feedback on assignments

- Unlimited doubt clearing sessions.

- Instructor led course with online live classes

- Online exams (give exams as per your convenience on given time slots)

- Certificate (by courier)

- CV enhancement

- Coaching for professional networking

- Training for writing and publishing articles

- Internship & Job Support

- Interview preparation guidance

- Access to updated content online for 3 years

- Top students are recommended to law firms and companies (as applicable)

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Professional Certification in AI Driven Data Analytics (US)

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