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Data Analytics

In the age of data-driven decision-making, Data Analytics has become one of the most sought-after skill sets. By mastering SQL, Python, Power BI, and Tableau, you can harness the power of data to extract meaningful insights and help businesses make informed, strategic decisions. At Growup Technologies, our Data Analytics course is designed to provide you with the foundational and advanced skills necessary for data analysis. This course covers SQL for querying and managing data, Python for data processing and analysis, Power BI for business intelligence, and Tableau for creating stunning data visualizations. Our hands-on approach ensures that you gain practical experience and learn how to apply your skills to real-world data analytics problems. Our expert trainers, real-time projects, and placement support will help you excel in the growing field of data analytics.

Why Choose Growup Technologies for AWS Training?

Comprehensive AWS Curriculum

Our curriculum covers essential topics such as SQL, Python, Power BI, and Tableau, allowing you to acquire a complete set of data analytics skills.

We provide in-depth knowledge of data manipulation, statistical analysis, data visualization, and reporting.

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Experienced Trainers

Learn from industry professionals who have years of hands-on experience in Data Analytics. They bring real-world expertise to the classroom, ensuring that you get the best learning experience.

Our trainers guide you through complex concepts and tools, making them easy to understand and apply.

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Hands-on Experience

We believe in learning by doing. Throughout the course, you will work on real-time projects, helping you gain practical experience with data analysis tools.

Projects will focus on data cleaning, data processing, building dashboards, and creating interactive reports using Power BI and Tableau.

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100% Placement Assistance

We offer 100% placement support with dedicated assistance for resume building, mock interviews, and job search.

Our strong industry connections ensure that you have access to job opportunities at top companies in the field of Data Analytics.

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Flexible Learning Options

We offer online and offline training options, allowing you to learn at your own pace and convenience.

The course is suitable for both beginners and those looking to upskill in the field of data analytics.

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Data Analytics Course Highlights

Course Duration

2 to 3 months (Flexible based on individual learning pace)

Mode of Training

Online and Offline

 

Training Format

Theory + Hands-on Projects + Case Studies

Course Level

Beginner to Advanced

 

 

Trainer’s Expertise

Industry professionals with hands-on experience in SQL, Python, Power BI, and Tableau

Placement Assistance

100% Job Placement Support, including resume preparation, mock interviews, and job interviews

Data Analytics Training Syllabus at Growup Technologies

Our Data Analytics course syllabus covers the tools and techniques needed for efficient dataanalysis. Whether you are new to data analytics or want to deepen your skills, this course will equip you with the knowledge and hands-on experience to work with data effectively.

  1. What is Data Analytics?
  2. Importance of Data Analytics in Business
  3. Types of Data Analytics: Descriptive, Diagnostic, Predictive, Prescriptive
  4. Data Analytics Lifecycle: Data Collection, Data Cleaning, Data Analysis, Data Visualization,
    Decision Making
  5. Overview of Analytical Tools and Technologies: SQL, Python, Power BI, Tableau
  1. Introduction to SQL (Structured Query Language)
  2. SQL Basics: SELECT, WHERE, JOIN, GROUP BY, ORDER BY
  3. Advanced SQL Queries: Subqueries, Aggregations, Window Functions
  4. Data Manipulation: INSERT, UPDATE, DELETE
  5. Data Filtering and Sorting
  6. SQL for Data Cleaning: Handling missing data, duplicates, and inconsistent data
  7. Writing SQL queries for data extraction and reporting
  1. Introduction to Python for Data Analytics
  2. Python Libraries for Data Analysis: Pandas, NumPy, Matplotlib, Seaborn
  3. Data Cleaning with Python: Handling missing values, data normalization, and transformation
  4. Data Manipulation with Pandas: DataFrames, Series, and data operations
  5. Exploratory Data Analysis (EDA) with Python: Analyzing trends, patterns, and insights
  6. Statistical Analysis with SciPy and Statsmodels
  7. Data Visualization with Matplotlib and Seaborn: Creating line charts, bar graphs, histograms,
    scatter plots, and more
  8. Introduction to Jupyter Notebooks for interactive Python programming
  1. Introduction to Power BI and its components
  2. Data Loading and Transformation in Power BI: Using Power Query for ETL (Extract,
    Transform, Load)
  3. Building Interactive Dashboards and Reports in Power BI
  4. Data Modeling and Relationships in Power BI
  5. Using DAX (Data Analysis Expressions) for creating custom calculations and measures
  6. Power BI Visualizations: Bar charts, line graphs, pie charts, maps, scatter plots
  7. Power BI Service: Sharing and collaborating on dashboards and reports in the cloud
  8. Integrating Power BI with other data sources like Excel, SQL Server, and Web APIs
  1. Introduction to Tableau and its components
  2. Tableau Desktop vs. Tableau Server vs. Tableau Online
  3. Connecting to Data Sources in Tableau
  4. Data Preparation and Transformation in Tableau
  5. Building Visualizations in Tableau: Bar charts, line charts, scatter plots, heat maps,
    geographical maps
  6. Creating Calculated Fields and Tableau Functions
  7. Building Dashboards and Storytelling with Tableau
  8. Tableau Public: Publishing visualizations online
  9. Data Security and Sharing in Tableau
  1. Predictive Analytics: Introduction to Machine Learning models (Regression, Classification,
    Clustering)
  2. Time Series Analysis: Analyzing trends and forecasting future values
  3. Data Mining Techniques for Pattern Recognition
  4. Text Analytics: Extracting insights from unstructured text data
  5. Introduction to Big Data: Working with large datasets using Hadoop and Spark
  1. Power BI Dashboard Creation: Create a dashboard for visualizing business metrics, such as
    sales, revenue, and customer behavior.
  2. Tableau Report Development: Design a detailed report on customer segmentation using
    sales data.
  3. Python Data Analysis Project: Conduct exploratory data analysis (EDA) on a real-world
    dataset (e.g., sales or marketing data).
  4. SQL for Data Reporting: Write SQL queries to extract key insights from a database, such as
    performance analysis or customer behavior.
  5. Power BI and Tableau Integration: Combine insights from both tools and create a unified
    report with cross-platform data.
  1. Work on a comprehensive real-world project that involves data cleaning, analysis,
    visualization, and reporting.
  2. The project will be supervised by an experienced trainer, and you will present your final
    work as a data analyst.

Real-Time Projects and Case Studies

At Growup Technologies, we believe in the power of hands-on learning. Our AWS course Includes real-time projects and case studies to help you apply the knowledge gained in class to solve real-world problems.

Examples of real-time AWS projects include:

100% Placement Support

At Growup Technologies, we are committed to your success. Our 100% placement assistance ensures that you get the support you need to land a job in Data Analytics. We
provide:

Why Data Analytics Certification Matters

Data Analytics is one of the fastest-growing fields, and certification from a reputable training provider can significantly boost your chances of landing a job. Our Data Analytics course certification ensures that you are job-ready with proven skills in SQL, Python, Power BI,
and Tableau.

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Why Growup Technologies is Your Ideal Data Analytics Training Partner

  1. Experienced Trainers: Our trainers are Data Analytics-certified professionals with years of industry experience.
  2. Hands-on Projects: You’ll work on live projects that help you gain practical knowledge of Data Analytics tools and services.
  3. Flexible Learning Options: Choose between online or offline classes based on your schedule.
  4. 100% Placement Support: Get all the guidance you need to land your first job in Data Analytics.

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How to Enroll?

To enroll in the Data Analytics Certification Course at Growup Technologies, follow these simple steps:

📌 Visit Our Center: 2nd floor, No.266, Velachery Rd, next to Jolen Hospital, Durga Colony, Sembakkam, Chennai, Tamil Nadu 600073.

📞 Reach us at 9363860869 for more details.

📩 Online Enrollment: You can also register online by filling out the enrollment form on our website.

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Growup@growuptech.in