12 weeks Data Analytics Accelerated Training BootCamp
Why Choose Us?
- 1000+ Students
- 3 Months
- 4.7 Reviews
- Training will prepare you for a career in Data Analytics, a rapidly evolving field that bridges data insights with business decision-making.
- 4.7 (455 ratings)
4.4/5
- Work on real-world projects alongside industry experts
- Free, globally recognized industry certifications
- Live Sessions
- Access on mobile and TV
- CV and LinkedIn Profile Review
- Gain free access to an extensive bank of interview questions & answers
- Enjoy flexible payment plans—up to 36 months
- Take advantage of our "Study Now, Pay Later" option
- Build a standout portfolio to impress employers
- Benefit from pre- and post-interview coaching, as well as on-the-job support
- Receive mentorship from seasoned professionals
Data Analytics Training
MotivaLogic’s Data Analytics Training Programme equips you with the essential skills to collect, process, analyse, and visualize data for informed decision making. Covering key concepts such as data wrangling, statistical analysis, and predictive modelling, this hands-on course prepares you for real-world data challenges. You will gain expertise in industry-leading tools and technologies, including Python (Pandas, NumPy, Matplotlib, and Scikit-learn), SQL for database management, Excel for data manipulation, and Power BI for data visualisation. The programme also covers version control with Git and GitHub, as well as scripting in Linux for data automation. Designed for both beginners and professionals looking to upskill, this programme blends theoretical foundations with practical projects, case studies, and industry best practices to ensure a comprehensive learning experience.
Course Syllabus
| Topics Covered: |
| • Overview of Data Analytics: Types, Applications, and Industry Use Cases • The Data Analytics Process: From Data Collection to Reporting • Introduction to Key Tools: Excel, SQL, Python, Tableau/Power BI • Setting up Your Environment: Anaconda, Jupyter Notebook |
| Hands-On Practice: |
| •Basic data manipulation using Excel/Google Sheets. •Simple data visualization with Excel charts. |
| Topics Covered: |
| •Types of Data: Structured vs. Unstructured •Understanding Datasets: Features, Observations, Data Types •Introduction to Data Cleaning: Handling Missing Data, Data Transformation •Data Import and Export: CSV, JSON, Excel |
| Hands-On Practice: |
| •Loading and exploring datasets using Python (Pandas) and Excel. •Cleaning data (removing duplicates, handling null values). |
| Topics Covered: |
| •Introduction to EDA: Descriptive Statistics and Data Visualization •Summary Statistics: Mean, Median, Mode, Variance, Standard Deviation •Identifying Patterns and Trends in Data •Introduction to Data Visualization Concepts: Types of Charts, Choosing the Right Chart |
| Hands-On Practice: |
| •EDA on sample datasets using Pandas and Matplotlib/Seaborn. •Creating visualizations: Histograms, Bar Charts, Scatter Plots. |
| Topics Covered: |
| •Introduction to Relational Databases and SQL •SQL Basics: SELECT, WHERE, GROUP BY, HAVING, ORDER BY •Aggregation Functions: SUM, AVG, COUNT, etc. •Joining Tables: INNER JOIN, LEFT JOIN, RIGHT JOIN |
| Hands-On Practice: |
| •Writing basic SQL queries on sample databases. •Combining and filtering data using SQL. |
| Topics Covered: |
| •Subqueries and Nested Queries •Window Functions for Advanced Analytics •Data Transformation and Manipulation with SQL •SQL Optimization Techniques |
| Hands-On Practice: |
| •Writing advanced SQL queries for real-world scenarios. •Analyzing data trends using Window Functions. |
| Topics Covered: |
| •Python Programming Basics for Data Analysis •Introduction to Numpy and Pandas Libraries •Data Manipulation with Pandas: Filtering, Sorting, Grouping •Handling Missing Data and Data Imputation |
| Hands-On Practice: |
| •Data manipulation exercises using Pandas. •Basic exploratory analysis using Python. |
| Topics Covered: |
| •Introduction to Data Visualization Libraries: Matplotlib, Seaborn •Creating Effective Visuals: Best Practices for Data Storytelling •Plotting Line Charts, Bar Charts, Heatmaps, and Pairplots •Customizing Plots for Better Insights |
| Hands-On Practice: |
| •Generating and customizing visualizations in Python. •Case study: Visual analysis of a dataset using Seaborn. |
| Topics Covered: |
| •Introduction to Statistical Concepts: Population vs. Sample, Probability •Understanding Distributions: Normal, Binomial, etc. •Hypothesis Testing: Null and Alternative Hypotheses, p-Values, Confidence Intervals •Correlation vs. Causation |
| Hands-On Practice: |
| •Performing hypothesis tests using Python (SciPy). •Correlation analysis and interpretation using real-world datasets. |
| Topics Covered: |
| •Overview of Machine Learning and Its Role in Data Analytics •Types of Machine Learning: Supervised vs. Unsupervised •Basic Introduction to Regression and Classification Models •Applying Simple Linear Regression in Python |
| Hands-On Practice: |
| •Building a simple predictive model using Scikit-learn. •Evaluating model performance with metrics. |
| Topics Covered: |
| •Introduction to Data Visualization Tools: Tableau, Power BI •Building Interactive Dashboards •Best Practices for Effective Data Storytelling •Designing Dashboards for Business Insights |
| Hands-On Practice: |
| •Creating an interactive dashboard in Tableau/Power BI. •Visualizing a dataset and deriving insights. |
| •Overview of the Capstone Project: Defining a Problem Statement •End-to-End Data Analysis Process: From Data Wrangling to Reporting •Project Planning and Execution •Presenting Data Insights to Stakeholders |
| Hands-On Practice: |
| •Students work on their capstone projects individually or in teams. •Milestone check-ins and progress reviews with instructors. |
| Topics Covered: |
| •Capstone Project Presentations: Students showcase their findings. •Peer Reviews and Feedback Sessions •Course Recap: Key Concepts and Takeaways •Guidance on Next Steps: Career Paths, Certifications, and Further Learning |
| Hands-On Practice: |
| •Final project presentations and evaluations. •Q&A session and career advice. |
Course Features:
- Live Sessions
- Access on mobile and TV
- Certificate of Completion
- CV & LinkedIn Profile Review
- Interview Coaching
- Free Certifications
Date & Prices
Pay Later
Study Now Pay Later!Spread your Payments Up To 36 Months with 0% interest
Choose from either of our partners Humm or Klarna below
Technologies You Will Learn
Lucidchart
RequirementsHub
Trello
Microsoft Visio
Microsoft Excel
Linux OS
Tableau
Google Data Studio
Our Success Stories
Reserve Your Spot
{"field_083dc2a":{"display_mode":"show","fire_action":"All","file_types":"png","logic_data":[{"cfef_logic_field_id":"select_training_program","cfef_logic_field_is":"==","cfef_logic_compare_value":"Select Training Program","_id":"2ce7504"}]},"field_2e685d0":{"display_mode":"show","fire_action":"All","file_types":"png","logic_data":[{"cfef_logic_field_id":"select_training_program","cfef_logic_field_is":"==","cfef_logic_compare_value":"Cloud DevOps Master Class","_id":"2ce7504"}]},"field_5e14dd4":{"display_mode":"show","fire_action":"All","file_types":"png","logic_data":[{"cfef_logic_field_id":"select_training_program","cfef_logic_field_is":"==","cfef_logic_compare_value":"Business Analysis Master Class","_id":"2ce7504"}]},"field_99ecf48":{"display_mode":"show","fire_action":"All","file_types":"png","logic_data":[{"cfef_logic_field_id":"select_training_program","cfef_logic_field_is":"==","cfef_logic_compare_value":"Cyber Security Master Class","_id":"2ce7504"}]},"field_e0a20cd":{"display_mode":"show","fire_action":"All","file_types":"png","logic_data":[{"cfef_logic_field_id":"select_training_program","cfef_logic_field_is":"==","cfef_logic_compare_value":"Scrum Master Master Class","_id":"2ce7504"}]},"field_1f7f2df":{"display_mode":"show","fire_action":"All","file_types":"png","logic_data":[{"cfef_logic_field_id":"select_training_program","cfef_logic_field_is":"==","cfef_logic_compare_value":"Python Programming Master Class","_id":"2ce7504"}]},"field_d1c6805":{"display_mode":"show","fire_action":"All","file_types":"png","logic_data":[{"cfef_logic_field_id":"select_training_program","cfef_logic_field_is":"==","cfef_logic_compare_value":"Product Owner Master Class","_id":"2ce7504"}]},"field_276b8dd":{"display_mode":"show","fire_action":"All","file_types":"png","logic_data":[{"cfef_logic_field_id":"select_training_program","cfef_logic_field_is":"==","cfef_logic_compare_value":"Full Stack Web Master Class ","_id":"2ce7504"}]},"field_b7f2e2e":{"display_mode":"show","fire_action":"All","file_types":"png","logic_data":[{"cfef_logic_field_id":"select_training_program","cfef_logic_field_is":"==","cfef_logic_compare_value":"Software Testing Master Class","_id":"2ce7504"}]},"field_16e3136":{"display_mode":"show","fire_action":"All","file_types":"png","logic_data":[{"cfef_logic_field_id":"select_training_program","cfef_logic_field_is":"==","cfef_logic_compare_value":"Data Analytics Master Class","_id":"2ce7504"}]}}
