Python, SQL, Tableau for Data Science Professional Certificate

Python, SQL, Tableau for Data Science Professional Certificate

English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 72 Lessons (5h 25m) | 2.07 GB

Build a Complete Data Science Skillset. Gain hands-on experience with industry-standard tools like Python, SQL, Tableau, Excel, and AWS.

What you’ll learn

  • Leverage SQL to extract actionable insights from complex databases to drive strategic business decisions.
  • Automate data workflows and discover hidden patterns using industry-standard programming tools like Python.
  • Craft compelling data narratives that captivate stakeholders and drive impactful action using Tableau’s dynamic visualization capabilities.
  • Predict future trends and automate data-driven decisions with AWS’s cutting-edge machine learning platform.

Skills you’ll gain

  • Feature Engineering
  • Database Management
  • Matplotlib
  • Unsupervised Learning
  • Data Storytelling
  • Data Analysis
  • Machine Learning
  • Interactive Data Visualization
  • Database Design
  • Data Visualization
  • A/B Testing
  • Data Visualization Software
  • Tableau Software
  • Exploratory Data Analysis
  • Data Presentation
  • SQL

Tools you’ll learn

  • Pandas (Python Package)
  • Python Programming
  • Dashboard
  • AWS SageMaker

Move beyond spreadsheets and build a strong foundation in modern data science. The Python, SQL, Tableau for Data Science Professional Certificate is a hands-on, beginner-friendly program that helps you develop practical skills using essential tools: SQL, Python, Microsoft Excel, Tableau, and AWS Machine Learning. Designed as an accessible, industry-agnostic starting point, the program supports learners who want to explore data science or build skills from the ground up.

You’ll progress through the full data science workflow—learning how to collect, clean, analyze, and visualize data. You’ll manage and query structured data with SQL, automate tasks and perform analysis using Python, organize and model data in Excel, design dashboards in Tableau, and explore machine learning concepts with AWS tools. You’ll also practice integrating AI and optimizing data processes, while applying ethical and efficient data handling practices.

Through real-world, hands-on projects, you’ll apply your skills to solve practical data challenges and build a portfolio that highlights your experience. This includes SQL analyses, Python scripts, Excel-based models, Tableau dashboards, and basic AWS machine learning applications. By the end of the program, you’ll have gained confidence with core industry tools and developed transferable skills that apply across fields like finance, healthcare, marketing, and operations, equipping you to support data-informed decision-making in any career path.

Applied Learning Project
Throughout this certificate, you’ll tackle real-world challenges through hands-on projects that build progressively

  • Transform retail data using SQL and GitHub version control, creating AI-assisted analysis reports and maintaining documentation
  • Build machine learning solutions with AWS SageMaker, implementing feature engineering, automated data pipelines, and predictive modeling with AI documentation
  • Design interactive business intelligence dashboards with advanced calculations, real-time updates, and AI-enhanced data narratives
  • Complete a capstone project combining SQL analysis, cloud ML, interactive visualizations, and stakeholder presentations
Table of Contents

advanced-data-science-techniques-with-aws-integration

foundations-in-aws-and-machine-learning-with-generative-ai

lesson-1-course-overview
1 welcome-to-advanced-data-science-techniques
2 course-syllabus-roadmap_instructions
3 course-resources-datasets-notebooks_instructions
4 day-in-the-life-an-interview-with-an-expert
5 insightlysoft-introduction_instructions
6 video-transcript-access_instructions

lesson-2-introduction-to-machine-learning-with-aws
7 understanding-the-ml-process_instructions
8 machine-learning-process-from-start-to-finish
9 how-cloud-tools-help-with-ml_instructions

lesson-3-aws-fundamentals-and-security
10 aws-essentials-for-data-science
11 mapping-aws-services-across-the-data-science-workflow_instructions
12 aws-components-security-best-practices_instructions

lesson-4-working-with-s3-glue-and-athena
13 leveraging-aws-athena-glue-and-s3-for-data-queries_instructions
14 setting-up-s3-glue-and-athena-for-data-analysis

lesson-5-sagemaker-ai-fundamentals-environment-setup
15 setting-up-sagemaker-unified-studio_instructions
16 overview-of-related-aws-tools-ec2-rds_instructions
17 navigating-the-sagemaker-interface

data-preparation-and-supervised-learning

lesson-1-data-preparation-for-machine-learning
18 data-preparation-fundamentals-for-ml_instructions
19 preparing-your-data-for-ml

lesson-2-regression-analysis
20 connecting-technical-metrics-to-business-impact_instructions
21 regression-techniques-in-python

lesson-3-classification-techniques
22 introduction-to-classification-models_instructions
23 building-classification-models
24 connecting-classification-metrics-to-business-outcomes_instructions

time-series-analysis-and-unsupervised-learning

lesson-1-time-series-analysis
25 time-series-concepts-and-arima-modeling_instructions
26 time-series-analysis-in-python
27 advanced-machine-learning-models-prophet-and-others_instructions

lesson-2-unsupervised-learning-methods
28 evaluating-unsupervised-learning-clustering-and-dimensionality-reduction_instructions
29 clustering-and-pca-techniques

model-enhancement-and-optimization

lesson-1-advanced-feature-engineering-with-ai
30 ai-generated-feature-suggestions_instructions
31 enhancing-your-features-with-ai
32 feature-selection

lesson-2-model-evaluation-and-conceptual-hyperparameter-tuning
33 overview-of-evaluation-metrics-and-tuning-concepts_instructions
34 evaluating-and-tuning-your-models

model-deployment-and-capstone-project

lesson-1-model-deployment
35 model-deployment-basics-with-sagemaker-ai_instructions
36 basic-model-deployment-in-sagemaker-ai

lesson-2-capstone-introduction-and-project-setup
37 expert-interview-on-end-to-end-cloud-ml-projects
38 understanding-your-capstone-project-journey_instructions
39 introducing-your-capstone-project-dataset_instructions

lesson-3-capstone-project-integrating-advanced-techniques-aws
40 course-wrap-up_instructions

building-a-real-world-data-science-solution

planning-and-data-collection

lesson-1-course-introduction-and-overview
41 welcome-to-building-a-real-world-data-science-solution
42 course-syllabus-roadmap_instructions
43 companies-and-datasets-overview_instructions
44 video-transcript-access_instructions

lesson-2-understanding-the-business-problem-and-success-metrics
45 understanding-ticketwises-ticket-routing-business-problem_instructions
46 defining-a-data-science-problem
47 best-practices-in-problem-definition-and-success-metrics_instructions

lesson-3-aws-s3-setup-and-data-management
48 setting-up-s3-glue-and-athena-for-data-analysis
49 introduction-to-amazon-sagemaker-ai-overview-and-getting-started_instructions
50 aws-s3-integration-with-python_instructions

exploratory-data-analysis-eda-and-preprocessing

lesson-1-exploratory-data-analysis
51 exploratory-data-analysis-techniques_instructions
52 first-look-smart-eda-for-hr-data

lesson-2-data-preprocessing-and-cleaning
53 data-cleaning-transformation-techniques

model-development-and-evaluation

lesson-1-feature-engineering-and-feature-selection
54 enhancing-your-features-with-ai
55 feature-selection
56 ai-generated-feature-suggestions_instructions

lesson-2-model-building-and-evaluation
57 model-recap-and-technique-overview_instructions
58 building-classification-models
59 regression-techniques-in-python
60 time-series-analysis-in-python
61 clustering-and-pca-techniques

pipeline-construction-and-deployment

lesson-1-pipeline-construction-and-deployment
62 step-by-step-pipeline-guide_instructions
63 automating-your-data-pipeline

lesson-2-model-deployment-with-aws-sagemaker-ai
64 sagemaker-case-study_instructions
65 model-deployment-basics-with-sagemaker-ai_instructions
66 real-time-model-deployment-in-sagemaker-ai

lesson-3-data-visualization-and-reporting
67 designing-interactive-dashboards
68 narrative-visualization-techniques_instructions
69 crafting-data-stories-with-bi-tools

lesson-4-technical-documentation-and-reporting
70 day-in-the-life-an-interview-with-an-expert
71 documenting-your-data-science-solution
72 best-practices-in-solution-documentation_instructions

solution-integration-and-delivery

lesson-1-mapping-your-toolkit-knowledge-to-real-world-applications
73 your-data-science-toolkit-in-action
74 mapping-your-data-science-toolkit-to-business-solutions_instructions

lesson-3-course-completion-and-future-journey
75 course-wrap-up-building-real-world-data-science-solutions_instructions
76 congratulations-on-completing-your-certificate

data-visualization-with-tableau-and-microsoft-excel

introduction-to-data-visualization-bi-tools

lesson-1-welcome-course-overview
77 welcome-to-data-visualization-with-bi-tools
78 course-syllabus-roadmap_instructions
79 introduction-to-business-intelligence-modern-bi-tools_instructions
80 day-in-the-life-an-interview-with-an-expert
81 global-finance-corp-introduction_instructions
82 video-transcript-access_instructions

lesson-2-introduction-to-tableau-and-excel
83 bi-tools-at-a-glance_instructions
84 setting-up-tableau_instructions
85 getting-started-with-tableau-public

lesson-3-connecting-to-data-sources
86 understanding-data-sources-in-tableau_instructions
87 connecting-to-databases-and-online-services-in-tableau-desktop_instructions
88 connecting-tableau-to-data-sources
89 troubleshooting-data-connections-in-tableau_instructions

lesson-4-data-preparation-and-transformation
90 data-cleaning-essentials-from-messy-to-analysis-ready-data_instructions
91 data-cleaning-transformation-techniques

lesson-5-tableau-challenge-uncovering-insights-in-action
92 from-raw-data-to-first-insights-a-social-media-analysis-challenge_instructions

creating-calculations-custom-metrics-and-building-visualizations

lesson-1-getting-started-with-tabelau-calculations
93 foundations-of-calculations-in-tableau-from-basic-math-to-table-calculations_instructions
94 mastering-calculations-in-tableau

lesson-2-advanced-calculations-lod-expressions-calculated-fields
95 mastering-level-of-detail-lod-expressions-beyond-basic-calculations_instructions
96 advanced-calculation-techniques-in-tableau

lesson-3-building-basic-visualizations
97 choosing-the-right-visualization-a-guide-to-basic-chart-types_instructions
98 building-your-first-visualizations

lesson-4-specialized-visualizations-and-advanced-formatting
99 specialized-visualizations-in-tableau_instructions
100 advanced-charting-techniques

creating-interactive-dashboards-and-data-stories

lesson-1-dashboard-design-and-interactivity
101 dashboard-design-principles-creating-interactive-user-experiences_instructions
102 designing-interactive-dashboards

lesson-2-data-stories-and-narrative-visualizations
103 narrative-visualization-techniques_instructions
104 leveraging-automated-insights-in-tableau_instructions
105 crafting-data-stories-with-bi-tools

lesson-3-implementing-real-time-visualizations
106 setting-up-live-data-connections_instructions
107 real-time-dashboard-techniques_instructions

lesson-4-performance-optimization-publishing
108 best-practices-for-dashboard-performance-and-publishing_instructions
109 optimizing-and-sharing-your-dashboards

exploring-other-tools-excel-for-data-analysis-and-visualization

lesson-1-essential-excel-fundamentals
110 why-excel
111 excel-in-modern-data-science_instructions
112 setting-up-excel-for-data-analysis_instructions
113 getting-started-with-excel-online

lesson-2-excel-functions-visualization-and-ai-tools
114 data-visualization-fundamentals-for-excel-dashboards_instructions
115 excel-functions-ai-tools-for-data-analysis
116 building-your-first-excel-dashboard
117 advanced-excel-capabilities-in-enterprise-settings_instructions

data-visualization-capstone

lesson-1-capstone-introduction-and-project-setup
118 the-future-of-data-visualization
119 introducing-your-capstone-project-dataset_instructions
120 capstone-project-overview_instructions

lesson-2-capstone-implementation-assessment
121 course-wrap-up_instructions

python-for-data-science-and-version-control-with-github

introduction-to-python-and-environment-setup

lesson-1-welcome-and-course-overview
122 welcome-to-python-for-data-science
123 course-syllabus-roadmap_instructions
124 day-in-the-life-an-interview-with-an-expert
125 engagemetrics-introduction_instructions
126 video-transcript-access_instructions

lesson-2-python-fundamentals-jupyter-notebook-setup
127 introduction-to-jupyter-notebook-with-python-overview-and-resources_instructions
128 python-basics_instructions
129 hello-python_instructions
130 getting-started-with-jupyter-notebooks
131 case-study-data-environments-in-industry_instructions

lesson-3-github-for-data-science-projects
132 version-control-best-practices_instructions
133 familiarize-with-git-and-github_instructions
134 git-basics-for-data-scientists_instructions

data-loading-and-manipulation

lesson-1-data-loading-techniques
135 data-import-essentials-csv-excel-and-apis

lesson-2-data-manipulation-with-pandas
136 transforming-hr-data-with-pandas

lesson-3-handling-categorical-and-date-time-data
137 python-data-transformation-essentials

lesson-4-numerical-operations-with-numpy
138 numpy-speed-boost-from-loops-to-lightning-fast-arrays

data-exploration-and-visualization

lesson-1-exploratory-data-analysis-eda
139 exploratory-data-analysis-techniques_instructions
140 first-look-smart-eda-for-hr-data

lesson-2-data-visualization-with-matplotlib-and-seaborn
141 choosing-the-right-visualization-a-guide-to-basic-chart-types_instructions
142 professional-visualizations-from-basic-to-beautiful

lesson-3-interactive-visualizations-with-plotly
143 interactive-dashboards-with-plotly-bringing-data-to-life

advanced-data-analysis-techniques

lesson-1-statistical-analysis-in-python
144 statistical-methods-in-python_instructions
145 statistical-analysis-in-hr-from-hypothesis-to-insights

lesson-2-a-b-testing-with-python
146 a-b-testing-in-action-training-methods-analysis_instructions
147 a-b-testing-in-action-analyzing-department-performance

lesson-3-automation-documentation-and-reporting
148 automating-your-data-science-workflow

github-integration

lesson-1-version-control-and-notebook-management-with-github
149 versioning-your-notebooks-with-github

lesson-2-documentation-with-generative-ai
150 automated-documentation-techniques_instructions
151 leveraging-ai-for-better-documentation

lesson-3-managing-experimentation-branching-strategies-in-data-science
152 branching-strategies-for-data-science-projects

data-science-workflow-capstone

lesson-1-capstone-introduction-project-setup
153 industry-expert-interview-on-data-science-workflows
154 introducing-trendwave-media-your-capstone-project-dataset_instructions
155 capstone-project-overview_instructions

lesson-2-capstone-implementation-assessment
156 course-wrap-up_instructions

sql-for-data-science-and-version-control-with-github

introduction-to-sql-and-environment-setup

lesson-1-welcome-course-overview
157 welcome-to-sql-for-data-science
158 course-syllabus-roadmap_instructions
159 day-in-the-life-an-interview-with-an-expert
160 bookcycle-introduction_instructions
161 lab-video-transcripts_instructions

lesson-2-sql-fundamentals-development-environment
162 introduction-to-jupyter-notebook-with-sql-overview-and-resources_instructions
163 sql-basics_instructions
164 hello-sql_instructions
165 case-study-data-environments-in-industry_instructions

lesson-4-introduction-to-git-basics-for-sql
166 version-control-best-practices_instructions
167 familiarize-with-git-and-github_instructions
168 git-basics-for-data-scientists_instructions

data-querying-aggregation-joins

lesson-4-conceptual-check-challenge
169 module-recap-study-guide_instructions

advanced-query-techniques

lesson-2-common-table-expressions-ctes-and-window-functions
170 exploring-advanced-query-patterns_instructions

lesson-4-advanced-query-techniques-challenge
171 advanced-sql-techniques-a-comprehensive-review_instructions

data-preparation-management-performance-optimization

lesson-3-creating-and-managing-database-schema
172 designing-a-database-schema_instructions
173 optimizing-sql-beyond-the-basics_instructions

data-analysis-capstone

lesson-1-capstone-introduction-project-setup
174 insights-from-a-data-scientist
175 introducing-techmart-your-capstone-project-dataset_instructions
176 building-your-data-analyst-report_instructions

lesson-2-capstone-implementation-assessment
177 course-wrap-up_instructions

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