Learn Data Analytics Techniques Online: Free Course with AI Tutor & Certificate
This 2-hour online training features 68 video lessons that teach you practical data analytics techniques. You'll start with fundamental statistical analysis before moving to predictive modeling, data visualization, and time series analysis. By the end, you'll know how to confidently interpret data and apply machine learning basics.
Data Analytics Techniques course syllabus
01 Introduction to Data Analytics Techniques
- Understanding Data Analytics
- Importance of Data Analytics
- Data Analytics Tools and Technologies
02 Fundamentals of Statistical Analysis
- Descriptive Statistics
- Inferential Statistics
- Probability Distributions
- Hypothesis Testing
- Statistical Analysis Software
03 Basics of Predictive Modeling
- Introduction to Predictive Modeling
- Data Preprocessing for Predictive Modeling
- Regression Analysis
- Classification Techniques
04 Exploring Big Data Technologies
- Introduction to Big Data
- Big Data Storage Technologies
- Big Data Processing Technologies
- Big Data Analytics Tools
- Big Data Use Cases
05 Data Visualization and Interpretation
- Importance of Data Visualization
- Data Visualization Techniques
- Tools for Data Visualization
- Interpreting Data Visualizations
06 Machine Learning Fundamentals
- Introduction to Machine Learning
- Supervised Learning
- Unsupervised Learning
- Model Evaluation and Validation
07 Data Mining Techniques
- Overview of Data Mining
- Association Rule Mining
- Clustering Techniques
- Anomaly Detection
08 Time Series Analysis
- Understanding Time Series Data
- Time Series Forecasting Methods
- Seasonality and Trend Analysis
- Time Series Model Evaluation
09 Text Mining and Sentiment Analysis
- Text Preprocessing
- Text Representation Techniques
- Sentiment Analysis Methods
- Applications of Text Mining
10 Introduction to NoSQL Databases
- 1 Overview of NoSQL Databases
- 1.1 NoSQL Database Concepts|Introduces the concept of NoSQL databases and how they differ from traditional relational databases.
- 1.2 Evolution of NoSQL Databases|Discusses the historical development of NoSQL databases and the factors driving their adoption.
- 1.3 Advantages and Limitations of NoSQL|Explores the strengths and weaknesses of NoSQL databases in various application scenarios.
- 2 Types of NoSQL Databases
- 2.1 Key-Value Stores|Describes key-value stores and their use cases.
- 2.2 Document-Oriented Databases|Introduces document-oriented databases and how they store and manage data.
- 2.3 Column-Family Stores and Graph Databases|Compares column-family stores and graph databases, highlighting their unique features and applications.
- 3 NoSQL Data Modeling
- 3.1 Data Modeling Principles for NoSQL|Outlines the principles of data modeling specific to NoSQL databases.
- 3.2 Designing NoSQL Database Schemas|Discusses strategies for designing effective NoSQL database schemas.
- 3.3 NoSQL Data Modeling Examples|Provides practical examples of NoSQL data modeling for different types of NoSQL databases.
- 4 Querying NoSQL Databases
- 4.1 Query Languages for NoSQL|Reviews the query languages and interfaces used with NoSQL databases.
- 4.2 Performing CRUD Operations|Teaches how to perform create, read, update, and delete (CRUD) operations in NoSQL databases.
- 4.3 Advanced Query Techniques|Covers advanced querying techniques, such as indexing and aggregation, in NoSQL databases.
11 Data Wrangling and Feature Engineering
- 1 Data Cleaning and Transformation
- 1.1 The Importance of Data Quality|Discusses the impact of data quality on analytics outcomes and the necessity of data cleaning.
- 1.2 Data Cleaning Techniques|Introduces techniques for identifying and correcting errors and inconsistencies in data.
- 1.3 Data Transformation Methods|Covers methods for transforming data into a suitable format for analysis, including normalization and scaling.
- 2 Feature Selection Techniques
- 2.1 Feature Selection Concepts|Defines feature selection and its role in building effective analytical models.
- 2.2 Filter, Wrapper, and Embedded Methods|Compares different feature selection methods and their use cases.
- 2.3 Feature Selection in Practice|Provides practical examples of feature selection in various data analytics projects.
- 3 Feature Engineering Methods
- 3.1 Introduction to Feature Engineering|Explains the concept of feature engineering and why it is critical for improving model performance.
- 3.2 Techniques for Feature Creation|Discusses methods for creating new features from existing data.
- 3.3 Feature Engineering Case Studies|Presents case studies illustrating the impact of feature engineering on model accuracy.
- 4 Handling Missing Data
- 4.1 Types of Missing Data|Describes different types of missing data and their potential impact on analysis.
- 4.2
Skills you'll gain
Add these to your LinkedIn profile and resume the day you finish.
Who should take this Data Analytics Techniques course?
And exactly what you need before starting (spoiler: almost nothing).
This course is for
- Beginners looking for a free data analytics course for beginners to start their tech careers.
- Working professionals who need to interpret business data and make better decisions.
- Students who want to learn practical data wrangling and visualization alongside their degree.
- Career switchers seeking an online data analysis certification path in India.
Prerequisites
- No prior experience is required to begin this course.
- Basic familiarity with computers and working with spreadsheets is helpful.
- A willingness to practice statistical concepts and data visualization techniques.
How learning works on LearnTube
The structure of a bootcamp, the price of free.
AI curates your path
Our AI picks the top 1% of video content for each topic and arranges it into a structured, goal-based curriculum. No more tutorial roulette.
Learn, then get quizzed
After every lesson, your AI tutor asks you a question and gives personalised feedback on your answer, so gaps get fixed immediately.
Finish with proof
Complete the course, build the capstone project, and claim a certificate recognised by 900+ hiring partners.
A complete Data Analytics Techniques course: free, structured and job-focused
Spanning about 2 hours across 68 concise video lessons, this free data analytics course online teaches you how to process and interpret complex information. You'll begin with the first lesson, Understanding Data Analytics, before moving into the Fundamentals of Statistical Analysis and the Basics of Predictive Modeling. We designed this curriculum to help you build practical skills fast. You'll explore how to handle unstructured information in Exploring Big Data Technologies and Introduction to NoSQL Databases.
As you progress through the data analytics syllabus, you'll tackle advanced topics like Data Visualization and Interpretation, Machine Learning Fundamentals, and Time Series Analysis. By the time you reach Data Wrangling and Feature Engineering, you'll know exactly how to clean raw data for analysis. The material also covers Text Mining and Sentiment Analysis, ensuring you can extract meaning from written feedback. If you want to learn data analytics from the ground up, this structured path gives you everything you need without overwhelming you with theory.
LearnTube makes studying easier by pairing top YouTube video lessons with an interactive AI tutor. After every single video, you'll take a quick quiz to test your memory and ensure you actually understand the concepts. The platform is completely free to learn, meaning you can master data mining techniques without worrying about high data analyst course fees. Once you finish all 11 modules, you can choose to purchase an optional paid certificate to verify your new skills for employers and our 900+ hiring partners.
Jobs you can target after learning Data Analytics Techniques
Data Analytics Techniques is a gateway skill for some of the fastest-growing roles in tech.
Cleans raw data and builds visual dashboards to help companies track performance.
Interprets complex datasets to find trends and guide business strategy.
Extracts useful patterns from large, unstructured databases using predictive modeling.
Typical entry-level salary ranges in India as of September 2026. Actual compensation varies by city, company and experience.
Earn a Data Analytics Techniques certificate employers recognise
Finish the course and claim a certificate you can share anywhere.
- Learn 100% free: every lesson, quiz and the AI tutor cost nothing
- Claim your certificate when you complete the course (an optional paid add-on)
- Recognised by 900+ hiring partners across India
- One click to share on LinkedIn and add to your resume
Why learners choose LearnTube
Real reviews from Google. You learn free, you get assessed free, and you pay only if you want the certificate.
Though I have 11 years of experience as an HRBP, the course helped me refresh my knowledge and gave me insights into new trends in the market. The modules were clear and easy to understand, and the quizzes were well designed. I have added the certificate to my LinkedIn profile.
I had a lot of doubts while learning, but the AI chatbot answered them in detail with simple summaries. The videos on the platform saved me a lot of time as I didn't have to search YouTube and watch random content.
Just earned my certificate in HR Management from LearnTube.ai! The platform is user-friendly and the assessment was a great way to validate my knowledge. Feeling proud of this accomplishment!
I enrolled in a LearnTube personalized course to get into a Data Analytics role. It helped me learn SQL in depth and gave me hands-on experience with Power BI. I attached the LearnTube certificate to my CV, it added credibility to my profile, and I'm currently in the interview process.
The interface is user-friendly and intuitive, making it easy to navigate the course. I encountered no errors during my time using the platform, which was a refreshing change from other online learning platforms.
Just cleared the Business Analyst assessment and got certified! Loved how the course simplifies big concepts like data-driven decision making into short, practical lessons. The automated quizzes kept me on track the whole time. Perfect boost for my resume!
The certificate gave me a real edge during my B.Tech. By the time I graduated, I had skills that set me apart from my peers, and the certification opened up more job opportunities. It gave me the confidence to stand out during interviews.
I manage many software projects as a General Manager and was looking for a good certification program to stay competitive. After researching many programs, I chose LearnTube and it was much better than I expected. The material is well-organized and practical, and what I liked most is the lifetime access.
Frequently asked questions
Everything learners ask before starting this Data Analytics Techniques course.
How long does it take to complete this data analytics online training?
You can finish the entire course in about two hours. The material is divided into 68 short video lessons, so you can easily study at your own pace and fit the classes around your daily schedule.
What will I be able to do after finishing the modules?
You will know how to clean raw information, build predictive models, and interpret trends using data visualization. You will also understand how to apply basic machine learning techniques and extract insights from text using sentiment analysis.
Is data analytics still a good career choice?
Yes. Companies constantly generate massive amounts of information and need skilled professionals to interpret it. Learning these techniques gives you a highly requested skill set that applies to marketing, finance, healthcare, and technology sectors across India.
Are there any data analytics course fees?
No, learning on LearnTube is completely free. You can watch all 68 video lessons and take the AI quizzes without paying anything. We only charge a small fee if you decide to buy the optional verified certificate.
Will this data analytics bootcamp teach me big data concepts?
Yes. The syllabus includes specific modules on exploring big data technologies and an introduction to NoSQL databases. You will learn how modern systems handle large, unstructured datasets that traditional spreadsheets cannot process.
Can I take these online data analytics classes on my phone?
Yes, you can access all the videos and AI quizzes directly from your mobile device. The platform works smoothly on phones, allowing you to study predictive modeling and statistical analysis whenever you have free time.
Learners also explore these free courses
Pair Data Analytics Techniques with a complementary skill to stand out even more.
Start learning Data Analytics Techniques today, for free
68 lessons, an AI tutor that never gets tired, and a certificate at the finish line. All you need is an hour a day.
Start Learning Free