Data Analytics

Data Analytics

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TechSolid Development
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📊 Master Data Analytics – Turn Information Into Insightful Decisions

Unlock the power of data and become the decision-maker every team needs. This comprehensive Data Analytics course is designed for absolute beginners and aspiring analysts, taking you from raw data to actionable insights using real-world tools and techniques.

You’ll start with foundational concepts like understanding data types, analytics workflows, and business problem framing. From there, you’ll dive into tools like Excel for data cleaning and analysis, SQL for querying databases, and Python for data manipulation and automation. You’ll also explore Power BI and Tableau for building interactive dashboards and visualizing insights that drive impact.

Throughout the course, you’ll work with real-life datasets, scenario-based case studies, and business-centric assignments to help you apply skills in context. From tracking KPIs to predicting trends, you’ll learn how to translate raw numbers into data-driven stories that guide smart business decisions.

The course is hands-on and highly practical, emphasizing critical thinking and communication skills just as much as technical tools. You’ll complete mini-projects and a final capstone project, giving you a professional portfolio to showcase. By the end, you’ll have the confidence and capability to pursue roles in data analytics, business intelligence, or operations—whether as a full-time analyst or a freelancer.

What Will You Learn?

Analyze and clean data using Excel, SQL, and Python
Create dashboards with Power BI and Tableau
Interpret real-world datasets and business KPIs
Communicate insights through data storytelling
Prepare for data analyst or BI roles

Course Curriculum

Learn the Concepts
Master core data analytics concepts including data types, cleaning, transformation, visualization, and interpretation using Excel, SQL, Python, Power BI, and Tableau.

Explore the fundamentals of Data Analytics, its lifecycle, types of data, industry use cases, and career roadmap.
Learn EDA techniques, outlier detection, imputation, and hands-on with WEKA and MATLAB tools.
Visualize data using Python (Matplotlib & Seaborn), and dive into supervised machine learning techniques.
Master Power BI for data storytelling, optimization techniques, and dimensionality reduction with PCA.
Understand clustering algorithms, predictive analytics, and time series forecasting methods.
Apply deep learning to analytics and learn basics of association rule mining and descriptive statistics.
Work with NLP, feature engineering, and data manipulation for better model accuracy.
Analyze data using SQL and Excel—covering joins, aggregations, pivot tables, and advanced functions.
Explore Big Data tools like Hadoop and Spark with core statistical concepts for analytics.
Understand data warehousing, ETL pipelines, and tools like Airflow, Snowflake, and Redshift.
Learn how cloud platforms (AWS, GCP, Azure) support scalable data analytics workflows.
Discover how AI transforms analytics using NLP, deep learning, and data-driven insights.

Practice What You Learn
Apply techniques on real datasets with step-by-step exercises, business case scenarios, and hands-on practice across various tools and platforms.

Quizzes & Assessments
Reinforce learning with module-based quizzes and applied challenges to check your understanding and prepare for real-world problem-solving.

Real-World Projects
Build practical projects like dashboards, sales reports, customer segmentation, and predictive models using real business data.

Internship / Project Submission
Work on a guided capstone project simulating industry expectations—analyze a dataset, generate insights, and submit a documented report.

Final Exam & Report Submission
Complete a final exam and submit your capstone project with detailed findings, visualizations, and business recommendations for evaluation.

Certificate of Completion
Receive an official certificate to showcase your skills in data analytics, reporting, and decision-making—perfect for job applications or freelancing.

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📊 Master Data Analytics – Turn Information Into Insightful Decisions

What Will You Learn?

Course Curriculum

Learn the Concepts Master core data analytics concepts including data types, cleaning, transformation, visualization, and interpretation using Excel, SQL, Python, Power BI, and Tableau.

Explore the fundamentals of Data Analytics, its lifecycle, types of data, industry use cases, and career roadmap.

Learn EDA techniques, outlier detection, imputation, and hands-on with WEKA and MATLAB tools.

Visualize data using Python (Matplotlib & Seaborn), and dive into supervised machine learning techniques.

Master Power BI for data storytelling, optimization techniques, and dimensionality reduction with PCA.

Understand clustering algorithms, predictive analytics, and time series forecasting methods.

Apply deep learning to analytics and learn basics of association rule mining and descriptive statistics.

Work with NLP, feature engineering, and data manipulation for better model accuracy.

Analyze data using SQL and Excel—covering joins, aggregations, pivot tables, and advanced functions.

Explore Big Data tools like Hadoop and Spark with core statistical concepts for analytics.

Understand data warehousing, ETL pipelines, and tools like Airflow, Snowflake, and Redshift.

Learn how cloud platforms (AWS, GCP, Azure) support scalable data analytics workflows.

Discover how AI transforms analytics using NLP, deep learning, and data-driven insights.

Practice What You Learn Apply techniques on real datasets with step-by-step exercises, business case scenarios, and hands-on practice across various tools and platforms.

Quizzes & Assessments Reinforce learning with module-based quizzes and applied challenges to check your understanding and prepare for real-world problem-solving.

Real-World Projects Build practical projects like dashboards, sales reports, customer segmentation, and predictive models using real business data.

Internship / Project Submission Work on a guided capstone project simulating industry expectations—analyze a dataset, generate insights, and submit a documented report.

Final Exam & Report Submission Complete a final exam and submit your capstone project with detailed findings, visualizations, and business recommendations for evaluation.

Certificate of Completion Receive an official certificate to showcase your skills in data analytics, reporting, and decision-making—perfect for job applications or freelancing.

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Learn the Concepts
Master core data analytics concepts including data types, cleaning, transformation, visualization, and interpretation using Excel, SQL, Python, Power BI, and Tableau.

Practice What You Learn
Apply techniques on real datasets with step-by-step exercises, business case scenarios, and hands-on practice across various tools and platforms.

Quizzes & Assessments
Reinforce learning with module-based quizzes and applied challenges to check your understanding and prepare for real-world problem-solving.

Real-World Projects
Build practical projects like dashboards, sales reports, customer segmentation, and predictive models using real business data.

Internship / Project Submission
Work on a guided capstone project simulating industry expectations—analyze a dataset, generate insights, and submit a documented report.

Final Exam & Report Submission
Complete a final exam and submit your capstone project with detailed findings, visualizations, and business recommendations for evaluation.

Certificate of Completion
Receive an official certificate to showcase your skills in data analytics, reporting, and decision-making—perfect for job applications or freelancing.