A comprehensive 10-month program covering Python, SQL, Power BI, R Programming, Statistics, and Machine Learning. Build real dashboards, analyze real datasets, and develop the analytical skills companies are hiring for, all in small batches of 6 to 10 students.
Three core pillars, taught through real datasets and real dashboards. Project-based learning from the first month, not theory decks.
Learn Python programming from basics to advanced, including Pandas, NumPy, and data visualization libraries. Master SQL for database querying, joins, window functions, and analytics. Build the core technical foundation every data analyst needs.
Master the industry-leading visualization tool. Build interactive Power BI dashboards with DAX calculations, Power Query transformations, and publish to Power BI Service. Create professional reports with KPI cards, charts, and geospatial visualizations.
Learn descriptive and inferential statistics, probability distributions, and hypothesis testing. Use R for data manipulation and visualization with ggplot2. Apply machine learning algorithms including regression, classification, clustering, and time series forecasting.
Each phase builds on the last. You work with real business data from Day 1.
Fundamentals of data analytics, business intelligence, and career paths. Understand the role of a data analyst, common tools, and frameworks. Learn how data drives business decisions.
Variables, data types, control flow, functions, OOP, file handling, exception handling. Build a strong foundation in Python programming that will enable you to work with data effectively.
Pandas, NumPy, Matplotlib, Seaborn, scipy.stats, statsmodels. Master the essential Python libraries that data analysts use daily to manipulate and visualize data.
Database management, CRUD, joins, subqueries, window functions, CTEs, stored procedures. Learn to query and manipulate data from relational databases, a critical skill for data analysts.
Data connections, Power Query, data modeling, DAX calculations, visualizations, publishing. Build professional dashboards in Power BI that deliver business insights through interactive visualizations.
R basics, dplyr, tidyr, ggplot2, data manipulation, statistical plotting. Learn R as a powerful tool for statistical analysis and creating publication-quality visualizations.
Descriptive statistics, probability distributions, sampling, hypothesis testing. Master the statistical foundations needed to validate hypotheses and make data-driven conclusions.
Machine Learning: regression, classification, clustering, NLP, time series forecasting. Build predictive models, evaluate performance, and apply ML techniques to solve real business problems.
This Data Analytics course is designed for anyone who wants to build a career in data analytics or business intelligence. Whether you are a complete beginner, a graduate, or a working professional looking to transition into analytics, this program gives you the practical skills and project experience needed to get hired.
If you work with data in spreadsheets and want to move beyond basic reporting, this course teaches you Python, SQL, and BI tools to automate analysis, build dashboards, and make data-driven decisions that impact business outcomes.
If you want to start a career in data analytics, this program takes you from zero to job-ready. Learn the complete analytics stack, build real projects, and create a portfolio that demonstrates your skills to hiring managers.
If you manage a business or team and want to understand your data better, this program teaches you to analyze trends, build dashboards, and use data to make informed strategic decisions without depending on others.
Data analysts who use AI tools deliver insights 3x faster. You'll automate data cleaning with AI, generate reports using Smart Narratives, build forecasts with AI models, and let stakeholders query data in plain English. This is the future of analytics, and you'll learn it here.
Build an end-to-end analytics pipeline with AI-automated data cleaning, intelligent feature engineering, and AI-generated insight reports.
Create a dashboard combining traditional analytics with AI-powered forecasting, anomaly detection, and automated narrative generation.
Build an interface where users query datasets in plain English and get AI-generated answers, charts, and written explanations back.
Build multiple analytics projects using real business datasets. Create dashboards in Power BI, perform SQL-based analysis, and apply machine learning models. Build a portfolio you can showcase in interviews and job applications.
Receive a SKETO certification that validates your skills in Python, SQL, Power BI, and Data Analytics. A strong credential to enhance your resume and improve your chances of getting hired in analyst roles.
Graduate with practical skills across the complete analytics stack. Be prepared for roles like Data Analyst, Business Analyst, BI Analyst, Analytics Consultant, or MIS Executive at companies across industries.
Learn in a focused environment where every doubt is addressed. Personalized attention on every concept, dataset, and project, not a crowded classroom experience.
If you feel the need to revisit concepts, attend the program again at no extra cost. Our confidence lies in ensuring you truly learn, not just complete.
This program is designed for individuals who are committed to learning, building, and growing. If you're here to truly upskill and transition, you're in the right place.
We understand every learner comes with a different background and goal. The program adapts to your requirements, ensuring relevance, clarity, and better outcomes.
Talk to our counselor for free, or attend a real data class with a paid trial session. No pressure, just clarity.
Talk to our team about the program, career paths & fees. Zero obligation.
Walk into a real classroom session. See how we teach, interact with the trainer, and work on a live dataset. Get a clear picture of the learning experience before you commit.
Experience how learning turns into execution. Attend a live session and start your first guided mini project using real datasets. Walk away with practical exposure and a feel of the full program.
"Overall experience was really great throughout the whole period of learning data science, machine learning and python. This course helped to gain more knowledge about data analytics, how deep it is and how there is further more use of it in the upcoming era. It also helped me increase my programming and statistical knowledge. The teaching staff is great and always available to solve any queries. You also get job opportunities from their end so you can apply side by side while learning. Thank you!"
"Recently had the opportunity to attend a class on Sketo, and I must say, it was an exceptional experience. The instructor was knowledgeable, enthusiastic, and made complex concepts easy to understand. The interactive sessions and hands-on exercises helped reinforce the learning material. Sketo's platform is user-friendly, and the course content is well-structured and comprehensive. I appreciated the flexibility to learn at my own pace and the support from the Sketo team."
"I had an outstanding learning experience of the Expert Data Science program. The curriculum was well-structured and covered a wide range of essential topics in data science. The instructors were not only highly skilled but also deeply committed to ensuring every concept was clearly understood. Their practical approach and real-world examples made even the most advanced topics approachable and engaging. This program truly enhanced my skills and confidence in applying data science techniques effectively."
Sourced from Google Reviews & UrbanPro
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