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Data Analytics Training Course in Vellore

  • Last updated 12/2024
  • English
  • Certified Course
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What you'll learn

We at Learnage Academy specialize in offering various types of IT training and educational services which have helped IT professionals and newbie's to improve and gain knowledge in IT domain. The beautifully structured training courses help the people to gain added value and also clear all their doubts. We aim to provide valuable IT training services to our clients from private business enterprise, institutions and even to individuals.

Our expert team of trainers makes use of modern teaching techniques through which they offer the clients the most reliable and satisfactory services to the clients. With our years of experience in the IT industry we come out with new innovative methods of teachings. We further offer diverse combination training program options to choose from. These programs are designed to meet the various needs of the clients. We also offer distance learning services to our clients. Our combination option program has proved successful and the friendly training environments have gained immense appreciations from our clients. Some of our combination programs which our clients can choose are as follows.

About Data Analytics Certification Course

The Data Analytics Certificate Course at Learnage Academy is designed to provide comprehensive training from fundamental to advanced data analysis concepts. This course is tailored to meet industry standards, ensuring that students are well-prepared for job interviews and certification exams in data analytics.

Course Content

  • Explain what Data Analytics is and the key steps in the Data Analytics process
  • Differentiate between different data roles such as Data Engineer, Data Analyst, Data Scientist, Business Analyst, and Business Intelligence Analyst
  • Describe the different types of data structures, file formats, and sources of data
  • Describe the data analysis process involving collecting, wrangling, mining, and visualizing data

  • Display working knowledge of Excel for Data Analysis.
  • Perform basic spreadsheet tasks including navigation, data entry, and using formulas.
  • Employ data quality techniques to import and clean data in Excel.
  • Analyze data in spreadsheets by using filter, sort, look-up functions, as well as pivot tables.

  • Create basic visualizations such as line graphs, bar graphs, and pie charts using Excel spreadsheets.
  • Explain the important role charts play in telling a data-driven story.
  • Construct advanced charts and visualizations such as Treemaps, Sparklines, Histogram, Scatter Plots, and Filled Map Charts.
  • Build and share interactive dashboards using Excel and Cognos Analytics.

  • Learn Python - the most popular programming language and for Data Science and Software Development.
  • Apply Python programming logic Variables, Data Structures, Branching, Loops, Functions, Objects & Classes.
  • Demonstrate proficiency in using Python libraries such as Pandas & Numpy, and developing code using Jupyter Notebooks.
  • Access and web scrape data using APIs and Python libraries like Beautiful Soup.

  • Play the role of a Data Scientist / Data Analyst working on a real project.
  • Demonstrate your Skills in Python - the language of choice for Data Science and Data Analysis.
  • Apply Python fundamentals, Python data structures, and working with data in Python.
  • Build a dashboard using Python and libraries like Pandas, Beautiful Soup and Plotly using Jupyter notebook.

  • Analyze data within a database using SQL and Python.
  • Create a relational database and work with multiple tables using DDL commands.
  • Create a relational database and work with multiple tables using DDL commands.
  • Compose more powerful queries with advanced SQL techniques like views, transactions, stored procedures, and joins.

  • Implement data visualization techniques and plots using Python libraries, such as Matplotlib, Seaborn, and Folium to tell a stimulating story
  • Create different types of charts and plots such as line, area, histograms, bar, pie, box, scatter, and bubble
  • Create advanced visualizations such as waffle charts, word clouds, regression plots, maps with markers, & choropleth maps
  • Generate interactive dashboards containing scatter, line, bar, bubble, pie, and sunburst charts using the Dash framework and Plotly library

  • Apply different techniques to collect and wrangle data
  • Showcase your Data Analysis and Visualization skills
  • Create a data analysis report and a compelling presentation
  • Demonstrate proficiency with various Python Libraries

Key Features of Data Analytics Course

  • 30+ Hours Course Duration
  • Industry Expert Faculties
  • Completed 800+ Batches
  • 100% Job Oriented Training
  • Free Demo Class Available
  • Certification Guidance


Course Rating

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