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Data Analysis

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    Technofine24 brings you the comprehensive data analysis course which is curated keeping in mind the needs of the corporate world. The experts at Technofine24 provide you with in-depth knowledge of all the modules (Advanced Excel, PowerBI, MS SQL Server, Python) with hands-on real-time projects. Technofine24 helps you develop the skills of data manipulation, visualization, and interpretation which are very important if you want to be a data analyst. Whether you are a fresher or an experienced professional, our experts can always help you according to your needs. Join Technofine24 and move a step closer to be a proficient and promising data analyst.

    KEY FEATURES

    • 4 Months of Intensive Online / Offline Training.
    • Delivered by industry experts 10 Years of Experience Trainer
    • 20+ Hours of Practical Assignments
    • Dedicated Mentor for Instant Doubt Clarification
    • 3 Months Internship Certificate
    • Hands-On Assignment for Each Module
    • Assured Minimum Package 5-25 LPA
    • Hands-On 5 Live Projects.

    Course Objectives

    1. Understand Data Analysis Fundamentals
    2. Learn Data Acquisition and Preparation Techniques
    3. Apply Statistical Analysis Methods
    4. Create Effective Data Visualizations
    5. Conduct Exploratory Data Analysis (EDA)
    6. Gain Proficiency in Data Analysis Tools (Excel, Python, R, SQL)
    7. Use Advanced Analysis Techniques (Machine Learning, Clustering, Classification, Regression)
    8. Interpret and Report Data Insights
    9. Analyze Real-World Data and Case Studies

    By the end of the course, participants will be able to perform data analysis, make data-driven decisions, and effectively communicate findings.

    Salary Expectations for a Fresher

    1. Average Starting Salary

    Range: INR 3.5 lakhs to INR 6 lakhs per annum.

    1. Influencing Factors
    • Location: Higher in metro cities (Bangalore, Mumbai, Delhi, Hyderabad).
    • Education: Higher for graduates from top-tier institutes (IITs, IIMs) and those with specialized degrees or certifications.
    • Skills: Proficiency in Python, R, SQL, Tableau, Power BI boosts salary.
    • Internship Experience: Relevant experience can lead to higher starting salaries.
    1. Industry Variations
    • IT and Tech: INR 4 lakhs to INR 7 lakhs per annum.
    • Banking and Finance: INR 6 lakhs to INR 8 lakhs per annum.
    • Healthcare and E-commerce: INR 4 lakhs to INR 7 lakhs per annum.
    1. Growth Prospects
    • Career Advancement: Significant salary hikes with experience.
    • Skill Development: Advanced skills in machine learning and AI can lead to higher-paying roles.

    Why Data Analysis?

    Data analytics courses are highly popular due to the growing demand for data-driven decision-making in businesses across various industries. Key reasons include:

    1. High Demand for Skills: There is a significant demand for data analysts in the job market, offering lucrative career opportunities.
    2. Versatility: Skills learned in data analytics are applicable across multiple sectors, including finance, healthcare, marketing, and technology.
    3. Competitive Salaries: Data analysts often enjoy competitive salaries and strong job security.
    4. Career Advancement: Mastering data analytics opens pathways to advanced roles like data scientist and data engineer.
    5. Accessible Learning: With numerous online and offline courses available, acquiring data analytics skills has become more accessible.
    6. Business Impact: Understanding data analytics empowers professionals to drive business growth and efficiency.

    Roles and Responsibilities of a Data Analyst

    A data analyst plays a crucial role in converting raw data into actionable insights. Key responsibilities include:

    1. Data Collection and Cleaning: Gathering data from various sources and ensuring its accuracy and completeness.
    2. Data Analysis: Using statistical techniques and tools to interpret data sets, identify trends, and uncover patterns.
    3. Reporting: Creating visualizations, dashboards, and detailed reports to communicate findings to stakeholders.
    4. Collaboration: Working with cross-functional teams to understand their data needs and support data-driven decision-making.
    5. Problem-Solving: Identifying and addressing data-related issues and providing solutions to improve business processes.

    In summary, a data analyst helps organizations leverage data to enhance decision-making, optimize operations, and achieve strategic goals.

    COURSE CONTENT

    Advanced Excel

    PowerBI

    Microsoft SQL Server

    Python

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