Overview of Analytics Course in Thane

The field of analytics is booming and has created a significant demand for professionals who can analyze data to make informed business decisions. Thane, a bustling city in Maharashtra, India, has recognized this need and offers various analytics courses to cater to individuals who want to advance their knowledge and skills in this field. The analytics courses in Thane cover a wide range of topics, from data science and machine learning to statistical analysis and business intelligence. These courses are designed to equip students with the necessary skills to become proficient in data analysis, data mining, and data visualization. The curriculum also focuses on building strategic thinking, data-driven decision-making, and communication skills. One of the most popular analytics courses in Thane is the Data Science and Machine Learning Course, which provides a comprehensive understanding of statistical modeling techniques, programming skills, and data manipulation. This course is ideal for individuals who want to gain expertise in machine learning algorithms and data analytics tools used in various industries, including finance, healthcare, and e-commerce. Another popular analytics course in Thane is the Business Analytics Course, which focuses on data analysis and visualization. This course prepares individuals to analyze large data sets, create dashboards, and effectively communicate insights to key decision-makers. It is an excellent choice for individuals who want to start a career as a data analyst or business intelligence professional. Thane also offers specialized analytics courses such as the Digital Marketing Analytics Course and the Financial Analytics Course. These courses cater to individuals who want to specialize in a particular industry and learn the analytical skills required in that field. The faculty teaching these analytics courses in Thane are highly skilled and experienced professionals who have extensive industry knowledge. They provide practical insights into real-world problems and teach students how to apply analytical thinking to find the best solutions. The curriculum is also regularly updated to keep up with the latest trends and advancements in the field. The analytics courses in Thane are offered by various institutions, including universities, colleges, and private training centers. These institutions provide flexible timings and affordable fees, making it easier for individuals to pursue these courses while balancing work and personal commitments. In conclusion, the demand for analytics professionals has made it imperative for individuals to upskill themselves in this field. Thane offers various analytics courses that cater to this need and equip individuals with the necessary skills to succeed in their careers. These courses not only provide in-depth knowledge of data analytics and machine learning but also boost critical thinking and decision-making skills, making them a valuable asset to organizations across industries.
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Skill Level

NA

Internship

NA

Live Project

NA

Certificate

NA

Live Training

NA

Career Assistance

NA

Expiry Period

Lifetime
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Skillfloor Course Training Process
Skillfloor Course Training Process

Internship Certificate

internship certificate

Completing this Analytics Course certifies your proficiency in data analysis, statistical methods, and essential analytics tools. This certification shows you can transform raw data into actionable insights, improving decision-making in various business contexts. It indicates your understanding of data visualization, predictive modelling, and data-driven strategy development, providing you with the skills to excel in analytics. This credential reflects your dedication to continuous learning and commitment to leveraging data for strategic advantage.

Analytics Tools Covered

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Why Choose SKILLFLOOR for Analytics in Thane?

Why Course Training in Skillfloor

Syllabus

- Overview of data analysis and its importance in business

- Types of analytics: Descriptive, Predictive, Prescriptive

- Role of data in decision-making processes

- Introduction to common tools: Tableau, PowerBI, Excel

- Ethical considerations in data collection and analysis

- Data sources: Primary and secondary data

- Data collection methods (surveys, web scraping, databases)

- Data cleaning techniques (handling missing values, outliers)

- Data transformation and feature engineering

- Data storage concepts (structured vs. unstructured data)

- Descriptive statistics: Mean, median, mode

- Data visualization basics (histograms, scatter plots)

- Identifying data patterns and trends

- Outlier detection and handling methods

- Correlation and causation analysis

- Inferential statistics and probability theory

- Hypothesis testing (t-tests, chi-square tests, ANOVA)

- Measures of central tendency and variability

- Confidence intervals and margin of error

- Regression analysis: Linear and logistic regression

- Principles of effective data visualization

- Types of charts and their uses (bar, line, pie, heatmaps)

- Designing dashboards for different audiences

- Interactive visualization techniques

- Data storytelling for impactful presentations

- Time series analysis and forecasting methods

- Clustering and segmentation analysis

- Decision trees and classification techniques

- Introduction to machine learning in business analytics

- Model evaluation and selection

- Basics of SQL for data manipulation

- Creating databases and relationships

- Aggregating data with SQL (GROUP BY, JOIN)

- Data modeling for business intelligence (star and snowflake schemas)

- Case study: Building a business model with SQL

- Connecting and preparing data in Tableau

- Creating basic visualizations (charts, maps)

- Advanced Tableau functions (LOD calculations, table calculations)

- Building interactive dashboards and stories

- Publishing and sharing visualizations on Tableau Server/Online

- Introduction to PowerBI workspace and components

- Data import and transformation with Power Query

- Data modeling and relationships in PowerBI

- Creating and customizing visualizations

- Publishing and collaborating on PowerBI Service

- Selecting a real-world dataset for analysis

- Defining business questions and objectives

- Conducting data analysis and visualization

- Presenting findings in a comprehensive dashboard

- Peer review and feedback on project

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