Become Data Analyst
Unlock the power of data: Transform insights into impact and elevate your career as a skilled Data Analyst today!
Development ,Data Science,Machine Learning
Lectures -145
Duration -12.5 hours
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Course Description
This "Become a Data Analyst" course will take all the skills and tools to become successful in data analysis, targeted to newbies.
This course offers a comprehensive introduction to the essential skills and tools for launching a successful career in data analysis, tailored for beginners.
Key Highlights:
- Data Cleaning: Learn techniques to identify and correct inaccuracies, ensuring high-quality data for analysis.
- Statistical Analysis: Develop foundational statistical skills to draw meaningful insights from data sets.
- Data Visualization: Master the art of creating impactful visual representations to effectively communicate findings.
- Tool Proficiency: Gain hands-on experience with industry-standard software like Microsoft Excel and SQL, along with programming languages such as Python or R.
- Practical Projects: Engage in real-world projects that enhance problem-solving and critical thinking skills.
Key Take-Aways:
- Data Cleaning: Learn techniques for checking and correcting discrepancies so that high-quality data are available for analysis.
- Statistical Analysis: Develop core statistical skills that will enable one to extract meaningful insights from data sets.
- Data Visualization: Learn how to make effective visualizations for now
- Tools / Skills: Using industry-leading Microsoft Excel and SQL, writing experience in either Python or R
- Practice Problems: Real problems to hone your skill at solving and critical thinking
What you will learn upon completing this course:
- Cleaning and dealing with quality issues in data.
- Applying statistical concepts for the analysis of data.
- Create impactful visualization with data.
- Use software and programming tools while working with data.
- Extract actionable insight from raw data.
- Graduate with technical know-how, and an analytical mindset, to take on a really exciting career path in the data-driven landscape. Join us: take that first step toward becoming a skilled data analyst!
Learning Outcomes:
Upon completion, you will be able to:
- Clean and manage data quality issues.
- Apply statistical concepts to analyze data.
- Create compelling data visualizations.
- Utilize software and programming tools for data manipulation.
- Derive actionable insights from raw data.
- Communicate findings effectively to diverse audiences.
- Tackle real-world challenges faced by data analysts.
- This course equips you with both technical expertise and an analytical mindset, preparing you for a rewarding career in the data-driven landscape. Join us and take the first step toward becoming a skilled data analyst!
Goals
- This course will equip you with technical skills and an analytical way of thinking that should provide a great proposition for a well-rewarding career in a data-driven world. Let us join forces, and take the first step to becoming a qualified data analyst.
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction to Advanced Excel
3 Lectures
-
Understanding Excel Basics: Workbooks, Sheets, and Cells 08:40 08:40
-
Exploring Excel's Interface and Basic Functions 08:12 08:12
-
Foundational Aspects of Cells: Building Blocks of Excel 09:32 09:32
Navigating Excel's Interface and Basic Operations
3 Lectures
Mastering Sum and Average Functions
3 Lectures
Understanding and Using Lookup Functions
3 Lectures
Advanced Lookup and Reference Techniques
3 Lectures
Comprehensive Guide to Advanced Lookup Functions
3 Lectures
Advanced Reference and Information Functions
4 Lectures
Logical Formulas for Complex Analysis
3 Lectures
Advanced Logical Formulas for Professional Use
5 Lectures
Mastering Text and Statistical Formulas
3 Lectures
Comprehensive Date/Time Formulas for Data Analysis
3 Lectures
Data Sorting, Filtering, and Visualization
3 Lectures
Advanced Charting Techniques for Professional Use
2 Lectures
Customizing Excel for Enhanced Functionality
3 Lectures
Mastering Pivot Tables for Comprehensive Analysis
2 Lectures
Introduction to SQL and DDL Basics
3 Lectures
Deep Dive into DDL and Constraints
3 Lectures
Data Manipulation and Table Alterations
3 Lectures
DML Commands: INSERT, UPDATE, DELETE
3 Lectures
Data Control Language and Constraints
3 Lectures
Advanced SQL Operations
3 Lectures
Advanced Filtering and Examples
3 Lectures
Logical Operations and Grouping
3 Lectures
Limit and Offset Operations
3 Lectures
Advanced Join Techniques
3 Lectures
Views and Triggers
3 Lectures
Subqueries and Optimization
2 Lectures
Getting Started with Power BI
3 Lectures
Building Basic Visualizations
3 Lectures
Mapping Your Data
3 Lectures
Mastering Map Visualizations
3 Lectures
Tables and Matrices for Detailed Insights
3 Lectures
Key Performance Indicators (KPIs) with Cards
3 Lectures
Advanced Card and Slicer Techniques
3 Lectures
Building Interactive Dashboards with Slicers
3 Lectures
Designing Effective Dashboards
3 Lectures
Data Transformation with Power Query
3 Lectures
Transforming Your Data
3 Lectures
Combining and Shaping Data
2 Lectures
Data Refinement and Calculation
3 Lectures
Advanced Data Modeling and Preparation
2 Lectures
Mastering Data Transformation
3 Lectures
Building a Strong Data Model
3 Lectures
Creating Stunning Visualizations
3 Lectures
Finalizing Your Power BI Project
1 Lectures
Introduction to Business Statistics
3 Lectures
Measures of Dispersion and Distributions
3 Lectures
Hypothesis Testing and Correlation
3 Lectures
Advanced Statistical Concepts
3 Lectures
Statistical Analysis and Visualization
2 Lectures
Instructor Details
AKHIL VYDYULA
Data Scientist | Data & Analytics Specialist | EntrepreneurHello, I'm Akhil, a Senior Data Scientist at PwC specializing in the Advisory Consulting practice with a focus on Data and Analytics.
My career journey has provided me with the opportunity to delve into various aspects of data analysis and modelling, particularly within the BFSI sector, where I've managed the full lifecycle of development and execution.
I possess a diverse skill set that includes data wrangling, feature engineering, algorithm development, and model implementation. My expertise lies in leveraging advanced data mining techniques, such as statistical analysis, hypothesis testing, regression analysis, and both unsupervised and supervised machine learning, to uncover valuable insights and drive data-informed decisions. I'm especially passionate about risk identification through decision models, and I've honed my skills in machine learning algorithms, data/text mining, and data visualization to tackle these challenges effectively.
Currently, I am deeply involved in an exciting Amazon cloud project, focusing on the end-to-end development of ETL processes. I write ETL code using PySpark/Spark SQL to extract data from S3 buckets, perform necessary transformations, and execute scripts via EMR services. The processed data is then loaded into Postgres SQL (RDS/Redshift) in full, incremental, and live modes. To streamline operations, I’ve automated this process by setting up jobs in Step Functions, which trigger EMR instances in a specified sequence and provide execution status notifications. These Step Functions are scheduled through EventBridge rules.
Moreover, I've extensively utilized AWS Glue to replicate source data from on-premises systems to raw-layer S3 buckets using AWS DMS services. One of my key strengths is understanding the intricacies of data and applying precise transformations to convert data from multiple tables into key-value pairs. I’ve also optimized stored procedures in Postgres SQL to efficiently perform second-level transformations, joining multiple tables and loading the data into final tables.
I am passionate about harnessing the power of data to generate actionable insights and improve business outcomes. If you share this passion or are interested in collaborating on data-driven projects, I would love to connect. Let’s explore the endless possibilities that data analytics can offer!
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