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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:

🔥 Limited Time Offer! 🔥
₹3999/- ₹1999/- 🎯
📢 Enroll Now & Save Big!
REGISTRATION FORM
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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:

🔥 Limited Time Offer! 🔥
₹3999/- ₹1999/- 🎯
📢 Enroll Now & Save Big!
REGISTRATION FORM
Fill up the Below form to get registered in the program
Please enable JavaScript in your browser to complete this form.
This will appear on your certificate.
*Should be an active email id.
*This option allows you to postpone the program to a future date. Leaving it blank will apply the default schedule.

Meet our Ex-Interns

Profiles are from linkedin, Click to Cross-Check

Shivesh Singh – Software Engineering Student | AI/ML Enthusiast

Junaid Aftab – Full Stack Developer | Recruiter

Ayush Kumar – Computer Science Student | Learner | Generative AI

Sheebamol TG-Web developer/WordPress Developer

Uday Dalvi-Java/ web dev/ SQL developer

Saipranav Sapare-Front-End intern at Solar Secure Solutions (A part of CWS)

Ayushi mallawat – Full Stack Web developer Intern at Solar Secure Solutions (Part of CWS)

Mayank Parmar-Intern at Solar Secure Solutions | Web developer| SVNIT (Part of CWS)

Ritesh Shukla- Full stack developer Intern at Soalr secure solutions(Part of CWS)

Mohit Kapil- IIT Roorkee’23 | Frontend Developer 

Mritunjay Mishra-Software Developer | Java | Python

Rachin-Associate QA Engineer at Empyra software solutions

PRATIBHA KUMARI-RAMS Engineer @ Alstom

Ramavath Harish-NIT MEGHALAYA

Rahul Bansal – Product Manager at HP India

krishnavamshi Thadooru-Mern Full Stack Developer

Shubhanshu roy-MVJ College of Engineering, Bangalore, India

Deepthi Muthineni-Project Engineer at Wipro

Ayush Parasha- Student at Arya College of Engineering and IT

Pranav Joshi- Full Stack Developer

RITU SINGH-FullStack Developer

Jahruddeen Ansari-DevOps Engineer | AWS Practitioner Certification – Associate

Syed Kashif- New Delhi

Jonal Suthar – TCS | Systems Engineer

Testimonals

Shivesh Singh
Shivesh SinghSoftware Engineering Student | AI/ML Enthusiast
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"Before joining SkillSecureX, I had no idea how to work with data. Now I can clean, analyze, and visualize datasets with tools like Power BI and Python. I recently landed my first data analyst internship!"
Junaid Aftab
Junaid AftabFull Stack Developer | Recruiter
Read More
"The course structure is amazing. I started as a complete beginner and now I’m confident enough to handle real-world datasets and create dashboards that tell a story."
Sheebamol TG
Sheebamol TGWeb developer/WordPress Developer
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"I had tried free YouTube tutorials but always felt lost. SkillSecureX gave me a clear roadmap, from Excel basics to advanced analytics, and now I’m applying these skills in my current job."
Uday Dalvi
Uday DalviJava/ web dev/ SQL developer
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"The hands-on projects helped me understand concepts better than any other course I’ve taken. My portfolio now has 3 solid analytics projects to show recruiters."
Saipranav Sapare
Saipranav SapareFront-End intern at Solar Secure Solutions (A part of CWS)
Read More
"Data was a mystery to me, but the trainers explained everything in a way that made it simple and practical. Now I can confidently talk about KPIs and trends in interviews."
Ayushi mallawat
Ayushi mallawatFull Stack Web developer Intern at Solar Secure Solutions (Part of CWS)
Read More
"Learning Data Analytics at SkillSecureX was a turning point. I transitioned from a teaching job to working in a corporate analytics role within 4 months."
Mayank Parmar
Mayank ParmarIntern at Solar Secure Solutions | Web developer| SVNIT (Part of CWS)
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"The best thing about this course? Real-world datasets and case studies. I learned how to find insights that actually help businesses make decisions."
Ritesh Shukla
Ritesh ShuklaFull stack developer Intern at Soalr secure solutions(Part of CWS)
Read More
"From Excel to SQL to Python – this course covers everything a data analyst needs. I’ve already started freelancing on small analytics projects to earn extra income."
Mohit Kapil
Mohit KapilIIT Roorkee'23 | Frontend Developer
Read More
"I was nervous about learning technical tools, but the mentors were patient and supportive. Now I can use Tableau and Power BI like a pro."
Mritunjay Mishra
Mritunjay MishraSoftware Developer | Java | Python
Read More
"The course didn’t just teach me tools; it taught me how to think like a data analyst. I can now look at raw data and know exactly how to turn it into actionable insights."
Rachin
RachinAssociate QA Engineer at Empyra software solutions
Read More
"SkillSecureX is different because they focus on practical learning. The capstone project in this course was my biggest asset in getting shortlisted for my current role."
PRATIBHA KUMARI
PRATIBHA KUMARIRAMS Engineer @ Alstom
Read More
"If you want a job in Data Analytics, this course is a must. It’s beginner-friendly, hands-on, and designed to get you industry-ready fast."

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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