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Data Science & Analytics

Switch to a Career in Data Science Modulation digital provides the best Data Science Coaching in Laxmi Nagar Delhi these courses are open to all graduates post graduation and working professionals.

Modulation Digital

Institute

Included with Data Science & ML

What you will learn?

  • Comprehensive Understanding: Develop a thorough understanding of the core concepts, principles, and techniques of digital marketing, including its various channels, strategies, and tools.
  • Website Optimization: Acquire the skills to design, develop, and optimize effective websites that enhance user experience (UX), drive traffic, and support overall digital marketing objectives.
  • Career Readiness: Equip yourself with the skills, knowledge, and confidence needed to pursue a career in digital marketing or advance your existing marketing career to new heights.
  • Practical Experience: Engage in hands-on exercises, real-world projects, and case studies that simulate the challenges and scenarios encountered in the digital marketing industry.
  • Strategic Planning and Execution: Learn how to develop comprehensive digital marketing strategies, set SMART goals, define target audiences, allocate resources effectively, and implement campaigns that align with business objectives.

This Course Includes

  • Recorded Lessons:  14
  • Recorded Hours:  6
  • Duration:   6 days (Avg)
  • TD Assessment Available
  • Access on Mobile

Course Description

This comprehensive program equips students with the expertise to derive meaningful insights from data, employing advanced statistical and machine learning techniques alongside adept data visualization and operational skills. Throughout the course, students master popular data analysis tools, such as Python and SQL delve into cutting-edge realms like natural language processing (NLP) and deep learning. Engaging in hands-on projects, they apply their knowledge to solve real-world challenges, cultivating a skill set tailored for making informed decisions grounded in data across diverse industries.

1.Interdisciplinary Expertise

Strength your foundational Knowledge apply this understanding to specific problems, and build competencies who work in multiple Programming environments. 

2.Strong Academic Support

Learn From a variety of Activities and through high degree of Communication Between Faculty and Students

3.Self Placed Learning

Engage and learn on your own faq Explore our extensive, access your learning materials online anytime, anywhere attend live c, and record lectures and talks that work for your schedule.

4.Industry Oriended Curriculum

Gain real-world insights from industry-focused module projects and learn from faculty who come with Decodes of rich industry Experience & Expertise.  

Topics Covered:

1) Introduction to Python

2) Python for Data Science

3) Data Visualization in Python

4) Data Analysis Using SQL (Optional)

5) Advanced SQL and Best Practices (Optional)

6) Data Analysis in Excel

7) Analytics Problem Solving

8) Math for Machine Learning 

Exploratory Data Analysis

1) Cloud Essentials: Intro to Git & Github

2) Inferential Statistics

3) Hypothesis Testing

4) Lending Club Case Study

Course Content

13 Lessons | 4hr 49min

Frequently Asked Questions

data analysts gather, clean, and study data to help guide business decisions. If you’re considering a career in this in-demand field, here's one path to getting started. Get a foundational education. Build your technical skills. Work on projects with real data. Develop a portfolio of your work. Practice presenting your findings. Get an entry-level data analyst job. Consider certification or an advanced degree.

This course covers a range of topics including data exploration, statistical analysis, machine learning algorithms, data visualization, big data technologies, and Hypothesis Testing and many more..

By mastering the concepts and tools covered in this course, you will be well-prepared for roles such as data analyst, data scientist, business analyst, or machine learning engineer in various industries.

The course will cover essential topics such as data collection and cleaning, exploratory data analysis, statistical methods, machine learning algorithms, data visualization techniques, and practical applications in real-world scenarios.

You will primarily learn Python and R for data analysis and machine learning. Additionally, you may work with tools like Jupyter Notebook, Pandas, NumPy, Matplotlib, Seaborn, and SQL for data manipulation and visualization.
Course Preview
(4.8)
4hr 49min
₹9999
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