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Vernacular Medium®

Online Data Analytics Course

Learn and explore with data manipulation!

Ratings: 4.7 – 1500 reviews

Online Data Analytics Course:

Our Online Data Analytics Course equips you with the skills to analyze and interpret data effectively. Featuring interactive lessons, hands-on projects, and real-world case studies, this course covers essential tools like Python, SQL, Power BI and Tableau etc. You’ll gain practical experience with data visualization, statistical analysis, and machine learning. This course is designed to help you succeed in the data-driven world, whether you are a beginner or professional.

Details

  • Duration: 5 Months
  • Live Sessions: 100+ Hours
  • Qualification: Any Graduate/Fresher with Knowledge of Basics
  • Weekly Classes: 4
  • Mode of Classes: Online
  • Course Curriculum: Yes (Digital Copy)
  • Topics: Theory + Live Demo + Projects
  • Language of Instruction: Odia, Hindi & English
  • Certificate: Yes (Digital + Original Hard Copy)
  • Materials: Yes (Digital Copy)
  • Price: ₹24,999 ₹19,999 (EMIs Applicable. Contact: 08763026591)
Data Analytics Course

N.B.: We start a new live batch on the first week of every month. For you to be a part of the upcoming batch, you must register beforehand.

Features of Data Analytics Course:

Comprehensive Curriculum
Experienced Instructors
Small Class Sizes
Progress Tracking
Practical Skills
Certification Programs

Curriculum of Data Analytics Course:

Introduction to Data Analytics:
  • Introduction to Data Analytics
  • Framework of Data Analytics
Python Basics:
  • Variables and Data Types
  • Operators
  • Control Flow (if, else, elif)
  • Loops (for, while)
Data Structures in Python:
  • Lists
  • Tuples
  • Sets
  • Dictionaries
  • Working with Numpy arrays
Data Cleaning and Preprocessing:
  • Handling Missing Data
  • Removing Duplicates
  • Data Imputation
Data Exploration (Statstics):
  • Descriptive Statistics
  • Data Visualization with Matplotlib and Seaborn
  • Exploratory Data Analysis (EDA)
Data Manipulation:
  • Pandas Library for DataFrames
  • Filtering and Sorting Data
  • Merging and Joining DataFrames
Data Analysis Techniques:
  • Statistical Analysis with SciPy
  • Hypothesis Testing
  • Correlation and Regression Analysis
Machine Learning Basics:
  • Introduction to Scikit-Learn
  • Supervised Learning (Regression, Classification)
  • Unsupervised Learning (Clustering)
Web Scraping:
  • Basics of HTML and CSS
  • Web Scraping with Beautiful Soup and Requests
Database Connectivity:
  • Connecting to Databases (e.g., SQLite, MySQL, MS SQL) using Python
  • Querying and manipulating data in Databases
Data Visualization:
  • Introduction to Data Visualization
  • Introduction to Tableau/Power BI
  • Tableau/Power BI Visualization
  • Minor Project
Data Analytics with Excel:
  • Basics of Excel
  • Business Problem Introduction
  • Data Preparation
  • Data Analysis
Case Studies and Interview Preparation:
  • Live Projects
  • Case Studies
  • Mock Interview Preparation 
  • Tips and Tricks for Freelancing Career

Do you want to take a Demo Class?

Customer Support

Demo Class Form

(Fill out the Form. We will arrange a Demo Class for you.)

    How does a Data Analytics Course benefit you?

    1. Enhanced Decision-Making Skills:

    • Learn to interpret data and derive actionable insights for better decision-making.
    • Gain skills in using historical data to forecast future trends and outcomes.
    • Develop a structured approach to identify and solve business problems using data.

    2. Improved Career Prospects:

    • The growing importance of data-driven decisions increases the demand for skilled data analysts.
    • Data analytics skills are applicable in various industries like finance, healthcare, marketing, and more.
    • Opportunities are not limited to any specific region, as companies worldwide seek data analytics professionals.

    3. Mastery of Analytical Tools and Software:

    • Gain expertise in languages like Python, R, and SQL for data manipulation and analysis.
    • Learn to use popular analytics tools like Tableau, Power BI, and SAS.
    • Develop the ability to create clear and compelling visualizations to communicate findings effectively.

    4. Increased Earning Potential:

    • Data analysts often receive attractive salary packages due to the specialized nature of their skills.
    • Performance-based incentives and bonuses are common in data-driven roles.
    • Freelancing and consulting opportunities offer additional income streams.

    5. Understanding of Big Data and Machine Learning:

    • Learn techniques to handle and analyze large datasets efficiently.
    • Gain an understanding of machine learning algorithms and their applications in predictive analytics.
    • Acquire skills to process and analyze real-time data for immediate insights.

    6. Development of Critical Thinking and Problem-Solving Abilities:

    • Enhance your ability to break down complex data sets and extract meaningful patterns.
    • Use data to inform strategic business decisions and long-term planning.
    • Develop a mindset of continuous learning to stay updated with the latest trends and technologies in data analytics.

    Why should you choose 'Vernacular Medium®' for Data Analytics Training?

    • Expert Instructors:

      Qualified and Experienced Teachers: Our highly skilled professors have years of experience teaching Data Analytics.

    • Comprehensive Curriculum:

      Well-Structured Courses: From basics to advanced topics, every aspects of Data Analytics is covered in our program.

    • Interactive Learning Environment:

      Engaging Classes: Our interactive lessons promote practice and active engagement from the students.

    • Personalized Attention:

      Small Class Sizes: We keep our class sizes small so that every student may get individual attention.

    • Practical Approach:

      Real-World Practice: We emphasize the actual use of Data Analytics through advanced modules and real-time projects.

    • Flexible Learning Options:

      Online and Offline Classes: We offer both online and offline lessons to suit different learning styles and schedules.

    • Supportive Learning Community:

      Encouraging Atmosphere: Students feel at ease in our encouraging and friendly learning atmosphere.

    • Proven Success:

      Track Record of Excellence: Our curriculum has a solid track record, with many students acquiring Data Analytics expertise.

    Testimonials:

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