Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
10 Hour(s) 22 Minute(s)
Language
English
Taught by
Digital Learning Academy
Rating
Course Overview
Mastering Analytics: From Data Visualization to Business Intelligence
Embark on a transformative journey to become a skilled Data Analyst with our comprehensive course: "Become a Data Analyst - Tableau | Python | Google Data Studio | BI | SQL." This meticulously designed course aims to equip you with the essential tools and techniques of data analysis, visualization, and business intelligence, ensuring you emerge as a proficient data analyst ready to tackle real-world challenges.
Course Overview:
Introduction to Data Analysis: Dive into the world of data analysis by understanding the pivotal role of a Data Analyst. Explore the responsibilities, tools, and the impact of data analysis in driving business decisions and strategies.
Mastering Tableau for Data Visualization: Unlock the power of Tableau, the leading visualization tool, starting from setup to advanced data manipulation techniques. Learn through hands-on exercises on connecting data sources, cleaning data, and crafting compelling stories through visualizations.
Python and Jupyter Notebook for Data Analysis: Venture into Python programming, a cornerstone for any Data Analyst. From basic syntax to complex functions, this section covers it all, including an in-depth exploration of Jupyter Notebook for executing Python code in an interactive environment.
Exploring Google Data Studio: Navigate through Google Data Studio to create dynamic reports and dashboards. Gain proficiency in importing data, connecting to various data sources, and visualizing data to uncover insights.
Analyzing Data with Power BI: Step into the world of Power BI, a premier business intelligence platform. Learn to install, connect to data, transform datasets, and visualize insights, culminating in the publication of reports and dashboards.
SQL and MySQL for Data Management and Analysis: Build a strong foundation in SQL and MySQL, from database concepts to advanced data analysis techniques. Master table joins, aggregate functions, and the art of querying databases to extract meaningful information.
Advanced Data Analysis Techniques: Elevate your skills with advanced SQL techniques, including inner, left, right, and self joins, subqueries, and the use of aggregate functions to perform complex data analysis.
Throughout this course, you'll engage in practical exercises and projects, applying what you've learned in real-world scenarios. Whether you're new to data analysis or looking to enhance your skills, this course offers a path to mastery across the most powerful data analysis and visualization tools available today.
Prepare to transform data into actionable insights and propel your career forward as a Data Analyst. Join us on this journey to mastering the art and science of data analysis.
Course Content
- 10 section(s)
- 120 lecture(s)
- Section 1 Introduction to Data Analysis
- Section 2 Introduction to Tableau and Setup
- Section 3 Data Analysis and Visualization with Tableau
- Section 4 Python and Jupyter Notebook Setup
- Section 5 Python Fundamentals
- Section 6 Data Analysis with Python
- Section 7 Data Analysis and visualization with Google Data Studio
- Section 8 Analyzing Data and Visualization with Power BI
- Section 9 Introduction to MySQL and Setup
- Section 10 Data Analysis with SQL
What You’ll Learn
- Understand the role and responsibilities of a Data Analyst in various industries.
- Gain a foundational understanding of key data analysis and visualization tools, including Tableau, Python, Google Data Studio, and Power BI.
- Learn to set up Tableau Public Desktop and navigate its interface for data analysis and visualization projects.
- Master the process of connecting to various data sources within Tableau and performing data joins on related datasets.
- Acquire the skills to clean and preprocess data in Tableau to ensure accuracy and relevance in analysis.
- Develop the ability to create compelling data visualizations and dashboards in Tableau that tell a story or reveal insights.
- Install Anaconda and understand the differences between Anaconda and Miniconda for managing Python environments.
- Get familiar with Jupyter Notebook as an interactive computational environment for Python programming.
- Understand the basics of Python programming, including expressions, statements, data types, and variables.
- Learn to work with Python data structures such as lists, tuples, dictionaries, and sets for efficient data manipulation.
- Master Python's control structures, including conditional statements and loops, for complex data analysis tasks.
- Explore the use of Python functions and modules to organize and reuse code effectively.
- Dive into data analysis with Python using the Pandas library for data manipulation and analysis.
- Practice data cleaning techniques in Python to prepare datasets for analysis.
- Learn the fundamentals of data visualization in Python
- Gain an introductory understanding of Google Data Studio for creating interactive reports and dashboards.
- Explore the process of connecting Google Data Studio to different data sources and importing data.
- Learn to create and customize various types of visualizations in Google Data Studio, including charts, tables, and geo maps.
- Understand the basics of Power BI, including setting up Microsoft 365 and installing Power BI Desktop.
- Master data transformation and modeling in Power BI to create compelling data visualizations.
- Learn the process of publishing reports to Power BI Service and building interactive dashboards.
- Acquire foundational knowledge in SQL for querying and analyzing data stored in relational databases.
- Understand MySQL database concepts, installation, and the use of MySQL Workbench for database management.
- Learn advanced SQL techniques for data analysis, including table joins, subqueries, and the use of aggregate functions to summarize data.
Skills covered in this course
Reviews
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PPavan Kiran
brilliant explanation
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RRameez Ahmed
Absolute great to have such a good course and quite easily understood able lectures in this platform.
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AAymen Mohammed
It was easily explained
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LLinda Chitamu
Easy to understand.
