Mechanisms Of Techs

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كـورس الـشـبـكـات الاحـتـرافـي الـشـامـل
Complete CCNA & CCNP Professional Course Content :-

— CCNA – Cisco Certified Network Associate :

1. Networking Fundamentals :

• What is a Network :-

- Definition of computer networks and their business value .
- Types of networks: LAN, WAN, MAN, PAN .
- Client-server vs peer-to-peer models .

• Network Components :-

- End devices: PCs, servers, printers, IP phones .
- Intermediary devices: switches, routers, firewalls .
- Network media: copper, fiber, wireless .

• OSI & TCP/IP Models :-

- Purpose of layered network models .
- OSI 7 layers explained with real-world examples .
- TCP/IP model and comparison with OSI .

2. Network Topologies & Architectures :

• Network Topologies :-

- Star, bus, ring, mesh, hybrid .
- Advantages and disadvantages of each topology .

• Network Architectures :-

- Traditional vs controller-based networking .
- On-premises vs cloud-based networking .

3. Ethernet & Switching Fundamentals :

• Ethernet Standards :-

- Ethernet frame structure .
- MAC addressing and ARP process .

• Switch Operations :-

- CAM table learning process .
- Broadcast, unicast, multicast traffic .

• VLANs & Trunking :-

- VLAN concepts and benefits .
- Access vs trunk ports .
- 802.1Q tagging .

4. IP Addressing & Subnetting :

• IPv4 Addressing :-

- Address classes and CIDR .
- Public vs private IP ranges .

• Subnetting :-

- Binary fundamentals .
- Subnet masks and prefix length .
- Practical subnetting techniques .

• IPv6 Fundamentals :-

- IPv6 address format and types .
- Stateless vs stateful configuration .

5. Routing Fundamentals :

• Routing Concepts :-

- Static vs dynamic routing .
- Default routes .

• Routing Protocol Basics :-

- Distance vector vs link-state .
- Administrative distance and metrics .

6. Wireless Networking :

• WLAN Concepts :-

- 802.11 standards .
- Frequency bands and channels .

• Wireless Security :-

- WPA2, WPA3 .
- Authentication methods .

7. Network Security Fundamentals :

• Security Threats :-

- Malware, phishing, DoS attacks .

• Network Protection :-

- Firewalls and ACL basics .
- Port security .

8. Network Automation & Programmability :

• Network Automation Basics :-

- APIs and REST concepts .
- Benefits of automation .

• SDN Overview :-

- Software-defined networking concepts .

— CCNP – Cisco Certified Network Professional :-

1. Advanced Routing Technologies :

• OSPF Deep Dive :-

- OSPF areas and LSAs .
- DR/BDR election process .

• EIGRP Advanced Concepts :-

- Feasible successor and DUAL algorithm .

• BGP Fundamentals :-

- Path selection process .
- iBGP vs eBGP .

2. Advanced Switching :

• STP Enhancements :-

- RSTP and MST .
- Loop prevention mechanisms .

• Advanced VLAN Designs :-

- VTP versions .
- Inter-VLAN routing .

3. Enterprise Network Design :

• Hierarchical Network Model :-

- Core, distribution, access layers .

• High Availability :-

- HSRP, VRRP, GLBP .

4. QoS – Quality of Service :

• QoS Concepts :-

- Traffic classification and marking .

• Congestion Management :-

- Queuing mechanisms .

5. Advanced Security :

• Enterprise Security Design :-

- Zone-based firewalls .
- VPN technologies .

• Network Hardening :-

- Secure management protocols .

6. Network Automation & SD-WAN :

• Python for Network Engineers :-

- Automating configurations .

• SD-WAN Architecture :-

- Centralized control and policy .

7. Troubleshooting & Optimization :

• Structured Troubleshooting :-

- Layered troubleshooting approach .

• Performance Optimization :-

- Monitoring and tuning .

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كـورس الـتـحـلـيـل الاحـصـائي SPSS الشامل الاحترافي
من الاساسيات حتى الاحـتـراف
SPSS Statistical Analysis Course | From Zero To Pro

Module 1: Getting Started with SPSS :-

— Overview of the IBM SPSS environment
— Installation, versions, and licensing explained
— Supported data formats and file types
— Data View, Variable View, and Output Viewer navigation
— Importing data from Excel, CSV, and databases
— Customizing preferences, layouts, and saving projects

Module 2: Data Entry, Cleaning & Preparation :-

— Defining variables: types, labels, values, missing data
— Manual and automated data entry methods
— Handling missing values and outliers professionally
— Recoding variables and computing new fields
— Categorizing continuous variables
— Merging datasets and splitting files
— Data validation and quality assurance checks

Module 3: Descriptive Statistics & Visualization :-

— Frequency tables and cross-tabulations
— Measures of central tendency: mean, median, mode
— Measures of dispersion: SD, variance, range, IQR
— Z-scores and standardization
— Bar charts, histograms, pie charts, box plots
— Using Explore and Descriptives for deeper insights

Module 4: Inferential Statistics & Hypothesis Testing :-

— Understanding p-values, significance levels, confidence intervals
— One-sample, independent, and paired t-tests
— One-way ANOVA with post-hoc tests (Tukey, L*D)
— Two-way ANOVA and interaction effects
— Pearson and Spearman correlation tests
— Scatterplots and relationship interpretation
— Normality tests: Shapiro-Wilk, Kolmogorov-Smirnov
— Homogeneity testing using Levene’s test

Module 5: Advanced Statistical Modeling :-

— Simple linear regression and prediction
— Interpreting coefficients, R², adjusted R²
— Multiple linear regression with multiple predictors
— Multicollinearity diagnostics (VIF, tolerance)
— Model selection methods (Enter, Stepwise, Forward, Backward)
— Binary logistic regression (Yes/No outcomes)
— Odds ratios and model fit (Nagelkerke R², Hosmer-Lemeshow)
— Optional: Ordinal & Multinomial logistic regression

Module 6: Machine Learning in SPSS :-

— Decision Trees (C&RT, CHAID)
— Classification rules, pruning, and validation
— Neural Networks (MLP): structure and interpretation
— Applications in classification and regression
— Cluster analysis: K-means and hierarchical clustering
— Determining optimal cluster numbers
— Interpreting dendrograms and profiling clusters

Module 7: Data Visualization & Reporting :-

— Advanced visualizations and 3D charts
— Heatmaps and analytical graphics
— Building dynamic dashboards
— Customizing colors, labels, legends, and annotations
— Exporting results to Word, PowerPoint, and PDF
— Automated reporting and reusable templates

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