Data Analytics Masters 2025 - From Basics To Advanced
Master Data Analysis: Learn Python, EDA, Stats, Excel, SQL, Power BI/Tableau, Fabric, Predictive Analytics & ETL Basics


4.5 Stars

Duration: Choose Your Course Length —
1, 2, 3, 4, 5, or 6 Months (Online & Remote)
📌 BATCH START DATE:
⏰ LAST DATE TO APPLY:
⏳ Batch Starts In:
₹3999/- ₹1999/- 🎯
📢 Enroll Now & Save Big!
REGISTRATION FORM
Fill up the Below form to get registered in the program
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About This Course
Generative and traditional data tools are powering decisions across every industry. Data Analytics Masters 2025 is a hands-on, career-focused program that takes you from the fundamentals of statistics and data wrangling to advanced modelling, dashboards, and real-world production workflows. Designed for IT / CS / engineering students across India, this course combines practical labs, industry datasets, and a capstone so you graduate job-ready.
No prior data or AI experience required. We start with the basics and build up to end-to-end analytics projects.
What You Will Learn
- Discover how to effectively handle, analyze, and visualize data using Python and its robust libraries, including Pandas, NumPy, Matplotlib, and Seaborn.
- Learn how to conduct Exploratory Data Analysis (EDA) to reveal insights, detect patterns, and prepare data for further analysis through effective visualization
- Acquire the skills to extract, manipulate, and aggregate data using SQL. You will utilize MySQL to handle complex databases and execute sophisticated queri
- Master the art of creating interactive and insightful dashboards using Power BI and Tableau. You’ll apply DAX for complex calculations in Power BI and integrate
- Students will learn to leverage Microsoft Fabric and Power BI to create impactful data visualizations and perform advanced data analysis using lakehouse archite
- Explore the fundamentals of machine learning, including classification, regression, and time series analysis, to enhance your predictive analytics skills.
- Learn the fundamentals of ETL processes to effectively extract, transform, and load data for analysis.
Foundations of Data Analytics
Introduction to Data Analytics and its importance in modern industries
Types of analytics: descriptive, diagnostic, predictive, and prescriptive
Understanding data sources, formats, and collection methods
Key concepts: statistics, probability, and data quality
Data Preparation & Cleaning
Using Python (pandas, NumPy) for data manipulation and wrangling
Handling missing values, outliers, and inconsistent formats
Data transformation and feature engineering for better insights
Best practices for organizing and storing datasets
Data Visualization & Reporting
Creating charts and graphs with Matplotlib, Seaborn, and Plotly
Building interactive dashboards with Power BI / Tableau
Storytelling with data for business decision-making
Design principles for clear and impactful visualizations
Data Analysis & Insights
Exploratory Data Analysis (EDA) techniques
Hypothesis testing and statistical analysis
Identifying trends, patterns, and anomalies
Real-world case studies across business, finance, marketing, and operations
Machine Learning for Data Analytics
Introduction to supervised and unsupervised learning
Regression, classification, and clustering techniques
Model evaluation and validation methods
Applying ML models to solve practical business problems
Big Data & Cloud Tools
Introduction to big data concepts and architectures
Working with SQL and NoSQL databases
Basics of Apache Spark and Google BigQuery
Using AWS / GCP tools for analytics workflows
Course content
76 sections • 429 lectures • 28h 14m total length
6 lectures – 20 mins
What is Data Analytics? – 02:05
Real-world applications of Data Analytics – 02:08
Data Analysts vs Data Scientists – 02:06
Understanding structured vs unstructured data – 02:10
Analytics workflow overview (Collect → Clean → Analyze → Visualize → Act) – 02:07
Quiz 1 – 4 questions
Data types: numerical, categorical, time-series
Sources of data: databases, APIs, spreadsheets, logs, sensors
Data quality and its importance
Basics of statistics for analytics (mean, median, mode, variance)
Introduction to Python for data analysis (pandas, NumPy)
Data cleaning: handling missing values & outliers
Data transformation & feature engineering
Data formatting & merging multiple datasets
Principles of good data visualization
Creating visualizations with Matplotlib, Seaborn, and Plotly
Interactive dashboards with Power BI or Tableau
Telling a story with data for stakeholders
Exploratory Data Analysis (EDA)
Hypothesis testing & statistical inference
Correlation vs causation
Identifying trends & anomalies
Introduction to relational databases
SQL basics: SELECT, WHERE, GROUP BY, JOIN
Writing queries for analytics
Using SQL with Python for data pipelines
Introduction to supervised & unsupervised learning
Regression, classification, clustering basics
Model evaluation metrics
Applying models for prediction & segmentation
Understanding big data & distributed systems
Apache Spark for analytics
Basics of Google BigQuery and AWS analytics services
Connecting cloud tools with visualization platforms
6+ mini real-world projects (finance, retail, marketing datasets)
1 end-to-end capstone project with live data
Resume building & interview preparation
How to present your analytics portfolio to recruiters
This course includes:
- 28 hours on-demand video
- 98 coding exercises
- 17 articles
- 137 downloadable resources
- Access on mobile and TV
- Certificate of completion
About The Instructor
Instructor: Amit Verma
Data Analytics Specialist | Ex-Senior Data Analyst at Accenture
Amit Verma is a passionate data educator with over 7 years of experience in the fields of Data Analytics, Business Intelligence, and Predictive Modeling. Having worked with Accenture on real-time analytics projects across finance, retail, and technology sectors, he brings hands-on expertise from industry to classroom.
At SkillSecureX, Amit leads curriculum design and mentorship for Data Analytics and Full Stack programs. His teaching style is known for being clear, practical, and deeply engaging, making complex analytics concepts easy to understand—even for beginners.
Major Project:
"Retail Analytics & Sales Forecasting – From Raw Data to Strategic Decisions"
Project Description
In this capstone project, learners will build a fully functional analytics dashboard using real-world retail datasets. The project will cover data collection, cleaning, analysis, visualization, and forecasting to help decision-makers drive business growth.
This project will enable you to:
Collect and clean large datasets from CSV, Excel, or database sources
Perform Exploratory Data Analysis (EDA) to uncover patterns and trends
Build interactive dashboards using Power BI or Tableau
Create advanced visualizations with Python (Matplotlib, Seaborn, Plotly)
Apply time-series forecasting models to predict future sales
Present findings in a professional analytics report for stakeholders









Trusted Collaborators













Description
The Problem
In today’s data-driven world, organizations are flooded with massive amounts of information—but without skilled Data Analysts, most of this valuable data goes unused. Businesses need experts who can turn raw data into clear insights for smarter decision-making, improved efficiency, and competitive advantage.
Yet, the demand for skilled Data Analysts is far greater than the current supply. Many aspiring professionals struggle to gain the right mix of technical expertise, business understanding, and analytical thinking required to excel in this role.
Universities often focus heavily on theory, leaving graduates unprepared for real-world challenges. Meanwhile, most online courses offer scattered lessons on tools and techniques without integrating them into a complete, practical workflow.
The Solution
Data Analytics is a multidisciplinary field that blends statistics, programming, and domain expertise to extract meaningful insights from data.
Our Data Analytics 2025 program is designed to give you end-to-end mastery, covering:
Data Fundamentals & Business Understanding
Excel & Spreadsheets for Analytics
SQL & Database Management
Data Visualization using Power BI & Tableau
Python for Data Analysis
Statistics & Probability for Data Insights
Machine Learning Basics for Analysts
Data Storytelling & Presentation Skills
Each module builds upon the previous one, ensuring you develop both technical skills and analytical thinking. Skipping steps can lead to confusion—for example, applying machine learning without a solid grasp of statistics can result in misleading conclusions.
The Skills
1. Introduction to Data Analytics
Understand the data analytics lifecycle—from data collection to reporting. Learn about structured vs. unstructured data, descriptive, diagnostic, predictive, and prescriptive analytics, and how analytics shapes business strategy.
2. Excel & Spreadsheets
Master formulas, pivot tables, charts, and advanced Excel features to quickly analyze and summarize datasets.
3. SQL & Databases
Learn how to query, filter, and join data using SQL, and manage large datasets stored in relational databases like MySQL and PostgreSQL.
4. Python for Data Analysis
Gain hands-on experience with Python libraries like Pandas, NumPy, and Matplotlib to clean, transform, and visualize data.
5. Statistics & Probability
Understand measures of central tendency, variability, hypothesis testing, correlation, and regression—critical for making data-backed decisions.
6. Data Visualization
Create professional, interactive dashboards with Power BI and Tableau to communicate insights effectively.
7. Intro to Machine Learning for Analysts
Learn how basic machine learning algorithms like linear regression, decision trees, and clustering can enhance analytics projects.
8. Data Storytelling & Insights Presentation
Turn numbers into narratives. Learn to present insights in a way that influences decisions and drives business growth.
Requirements
- No prior experience is required. We will start from the very basics
- You’ll need to install Anaconda. We will show you how to do that step by step
Who this course is for:
Anyone who wants to build a career as a Data Analyst, Business Analyst, or in any data-driven role.
Professionals and students who want to upgrade their skills in data handling, visualization, and insights.
Beginners who want to start from scratch and gradually develop advanced analytics skills.
"Get Industry level Certification!"

4.5 Stars

Duration: Choose Your Course Length —
1, 2, 3, 4, 5, or 6 Months (Online & Remote)
📌 BATCH START DATE:
⏰ LAST DATE TO APPLY:
⏳ Batch Starts In:
₹3999/- ₹1999/- 🎯
📢 Enroll Now & Save Big!
REGISTRATION FORM
Fill up the Below form to get registered in the program
Meet our Ex-Interns
Profiles are from linkedin, Click to Cross-Check
Testimonals












Some Top recruiters...


















FAQs
To begin, complete the registration form above by entering your name, email ID, and mobile number. Mention if you’re a student or a professional, along with your college or workplace details. You can also pick a convenient start date, and we’ll try our best to match it.
📩 Offer Letter: After we verify your registration, your offer letter will be issued and sent to your email within a few hours or the next morning.
📩 Welcome Package: On your chosen start date, you’ll receive login credentials and step-by-step guidance via email.
In case you have any queries, you can reach out through hr@skillsecurex.com or WhatsApp/call +91-7618025090.
Definitely! Our support team assists with college-required documents such as attendance sheets, evaluation reports, progress updates, and project summaries throughout your program.
If you need to take a leave for any reason, simply email us or drop a WhatsApp message. You don’t have to wait for a response — just inform us and focus on your priority. Once you’re ready, you can easily resume your tasks.
Yes, a laptop or desktop with a good internet connection is mandatory for participating in this program.
Our programs feature pre-recorded video sessions and LIVE sessions both (Hybrid ) to offer maximum flexibility. Everyone — students, professionals, and mentors — can learn at their own pace without schedule conflicts.
Don’t worry there is an AI-powered assistant to help you with all your coding-related queries. Andie can check and debug code, generate new code, and even build entire projects for you.
This feature is exclusively available to registered candidates through their Task Portal.
Since mentors cannot be available 24/7, Andie was developed to bridge the gap. Located at the bottom-left corner of every module, this Full Stack Developer Bot is capable of writing, reviewing, and troubleshooting code anytime, ensuring you get instant solutions to your coding challenges, day or night.
This internship cum training opportunity is designed in such a way as from fresher to a professional anyone can get benefit out of it, The opportunity is divided into 15+ modules, and every Module contains 15-20 small tasks plus 1 project (in the last) based upon what you have learnt in that particular module. The complexity and practicality of your modules and projects will gradually increase, Timing is flexible, schedule yours accordingly. After completing every project given in the modules, Submit within the deadlines.
A major part of this program contains a training part, however we have many projects (2 Major, 15 Minor and many practice projects) and many internal and external resources to sharpen the skills of the candidates. It is a self paced program, Training and internships will go simultaneously. After every Module, there will be a project related to it (may it be a minor, major or practice project)
We have 20+ projects to provide hands on Experience and sharpen the skills of the Interns.
About Paid Projects_
Paid projects will be provided to the interns on two basis
1) The assignments/projects, which all students sends goes directly to our USA team. they evaluate all of them and create a kind of ranking sheet based upon some factors like quality, accuracy, deadline met etc. They keep this list with them for future paid projects.
2) The availability and number of the projects available.
The training is split into 15+ modules, each with 15–20 tasks and one project. As you progress, the complexity grows to ensure steady skill development. Projects must be submitted on time, and you can plan your schedule flexibly.
You’ll work on over 20 projects to build real-world experience.
👉 Paid Project Opportunity: Based on your performance (quality, speed, and accuracy), you may be eligible for paid tasks offered by our USA team, subject to availability.
Anyone interested can join! Basic knowledge of HTML, CSS, or JavaScript is a bonus but not compulsory. Graduates from any stream are welcome. There are no restrictions based on nationality, age, or background.
You decide your working hours! Whether you’re a student or a working professional, you can complete modules at your convenience. Plus, the internship is 100% remote — work from wherever you are most comfortable.
Once enrolled, you’ll have lifetime access to all training content, unless there’s a policy change in the future.
Absolutely! You’ll receive full training material, video tutorials, and 24/7 coding assistance before and during your project work.
Yes, but it depends! Stipends are offered based on your performance, the nature of the project, and USA team evaluations. Stipends typically range from ₹8,000 to ₹18,000 INR ($99 – $219) or higher, depending on project availability.
We actively hire top-performing interns for internal and client roles based on project availability. Additionally, we regularly post openings from our partners so you can apply even after completing the program.
Your certificate will be automatically prepared and scheduled to be emailed around your program completion date. Allow up to 48 extra hours if it falls on a weekend or holiday.
LORs are awarded to exceptional candidates based on strict performance criteria. If you require a LOR for special circumstances like studying abroad, you may also directly request it from HR.
Of course! Although not mandatory, if you find the program valuable, feel free to refer it to friends, classmates, or colleagues who might benefit.
4.5 Stars

SkillSecureX is a forward-thinking EdTech company dedicated to transforming how students and aspiring professionals build careers in the IT sector. Founded with a vision to make high-quality, industry-relevant learning accessible to all, SkillSecureX specializes in online internships and certified training programs in Web Development, Data Science, Artificial Intelligence, and other cutting-edge technologies.
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Careers/Job Applications (US Office):
- careers.usa@skillsecurex.com
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