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    Senchola university Batch 17

    Data Analytics Program

    senchola university Data analytics

    Program

    Data Analytics Program

    • Excel – Data cleaning And Data Modeling
    • SQL – Data Cleaning
    • PowerBI – Reporting and Visualizing Data
    • Python Libraries – Pandas (Data Manipulation)
    • Webscrapping – Extracting Data From Websites

    Syllabus Included:

    Week 1-2: Orientation & Basics :

    Introduction to Tools & Workflow:  Overview of Python, SQL, Excel, Power BI, and project goals.
    Python Basics:  Data cleaning and preprocessing using Pandas.
    Power Bi Basics:  Introduction to PowerBi Basics.

    Week 3-4: Data Exploration & Preparation

    Advanced Python Techniques: Data transformation, feature engineering, and visualization (Matplotlib, Seaborn).
    Data Cleaning & Preparation: Handling missing data, outliers, and data normalization.

    Week 5-6: Dashboard Development

    Power BI Introduction: Connecting data sources, creating simple visualizations.

    Intermediate Power BI: Advanced visuals, calculated columns, measures, and DAX.
    Real Time Project Initiation:  Analysing Real Time Datasets

    Week 7-8: SQL & Data Analysis

    Advanced SQL: Complex queries, joins, and subqueries.
    Data Analysis: Exploratory data analysis (EDA) and statistical analysis

    Week 9-10: Web Scrapping Fundamentals


    Web Scraping Introduction: Ethical considerations, basic concepts, and legal aspects.
    Tools & Libraries: Introduction to Beautiful Soup, Web scrapper
    Practical Scraping: Hands-on exercises scraping static and dynamic websites.

    Week 11: Real Time Project Execution

    Project Work: Teams work on real-world datasets to build dashboards and extract insights.
    Peer Review & Feedback: Presentations and constructive feedback sessions.

    Week 12: Final Presentations & Wrap-Up

    Final Presentations: Teams present their final projects.

    Skills you'll gain

    Cucumber

    Excel

    SQL

    Power BI

    TestNG

    Maven

    Firebase

    Express JS

    Node JS

    MongoDB

    • About
    • Outcomes

    What You’ll Learn

    • Master Data Analytics Fundamentals: Develop a deep understanding of core data analytics concepts, including data collection, data cleaning, and data visualization. Learn how to analyze large datasets to extract meaningful insights and support data-driven decision-making.
    • Utilize Analytics Tools and Techniques: Gain hands-on experience with popular data analytics tools and software such as Excel, SQL, Python, and R. Learn how to use these tools for data manipulation, statistical analysis, and advanced analytics.
    • Create and Interpret Data Visualizations: Learn how to create compelling data visualizations using tools like Tableau or Power BI. Understand how to present data in a clear and insightful manner, making it easier for stakeholders to interpret and act on the information.
    • Build a Comprehensive Portfolio: Apply your skills through practical projects, including a comprehensive capstone project. Develop a portfolio that demonstrates your ability to analyze and visualize data, providing actionable insights across various domains.

    What After Training ?

    Now, let's talk about opportunities. Ever wondered what IT companies do? In simple terms, they build websites for clients. Whether it's Google, Zoho, or Microsoft, they don't just build websites - they create products that you use every day, like Gmail. And guess what? Most products and services are delivered through websites, making web development one of the most in-demand jobs in the market.

    Think about it - every startup needs a web developer. Every small business needs a web developer. And you know what? You could even become a freelance developer, calling the shots on your own projects

    So, what's next after completing our course? The possibilities are endless. You could intern at a startup, work for a multinational corporation, or even kickstart your career as a freelance web developer.

    The choice is yours
    Ready to take the first step towards a rewarding career in web development? Enroll now and unlock a world of opportunities!

    senchola university Data Analytics

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    Program Fee:

    ₹ 2949 (Inclusive of GST)

    ₹ 5,000

    Frequently asked questions

    If your question hasn’t been addressed in our FAQ or if you need more detailed assistance, please don’t hesitate to get in touch with us.

    It is social learning community initiated by Senchola Technology Solutions. Our vision to ensure that every student in any corner of India gets an equal opportunity to build a career. 

    To apply, fill out the Microsoft Form provided in the Home Page. Once your application is submitted, you’ll be added to a general WhatsApp group for communication and further instructions.

     

    No, Its similar like Internship program. Our community members will guide you to learning any technologies as you want to build your career.

    All our video classes are hosted on our secure online learning platform, accessible to registered students 24/7. Upon enrollment, you will receive login credentials to access the platform from anywhere with an internet connection, allowing you to learn at your own pace and convenience.

    3 Months, dedicated learning program.

    Yes, it’s completely work from home.

    No, Its learning community we not paid anything but we put our valuable time and knowledge with you to build your better future.

    The program offers domains including Front-End Development, Back-End Development, Mobile App Development, WordPress Development, SEO (Digital Marketing), YouTube Content Creation, Content Writing, Video Editing, HR/Admin, Cyber Security, Software Testing, Data Analytics, Graphic Design, and UI/UX Design.

    Participants are encouraged to document their progress on LinkedIn and tag us for acknowledgment and engagement. Regular monitoring and bi-weekly reviews will help address improvements and provide guidance.

    Participants will work on real-time and live projects relevant to their domain. Weekly reviews are conducted to track progress and ensure continuous improvement.

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