Get a Competitive Advantage in this Tough Job Market!

Maths & Stats for
Data Analytics Crash Course

WHO IS THIS COURSE FOR?

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Aspiring Data Analyst or Data Scientist

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Career Transitioner

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Data Enthusiast with Some Experience

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Freelancers and Independent Consultants

Do you feel your lack of a formal degree in mathematics and statistics is holding you back?

This crash course is specifically designed to bridge this gap, offering comprehensive, practical knowledge in mathematics and statistics tailored for data analytics. No need for a 4 years degree, we will cover only the essentials concepts that you will apply in the workplace.

Do you want to land a data analytics job as soon as possible?

Time is money, and my course is laser-focused on getting you job-ready quickly, without compromising on quality and removing all the fluff, making it action-based. You’ll be well-equipped to enter the job market with confidence in 60 days.

Do you keep applying for jobs but just getting rejections?

What truly sets us apart is our collaboration with a Top Voice Data Analytics recruiter on LinkedIn. Learn from the expert how to craft winning resumes, ace interviews, and avoid common mistakes.

Do you need a clear Roadmap from 0 to Data Job?

My course offers a curated, step-by-step learning path, guiding you each step of the way. And if you help you will have my full support at any point.

“By far this is the most rewarding and complete course I took. I highly recommend the course if you want to build very strong projects that look amazing at the end and at the same time are easy to create thanks to a clear step by step tutorial that Lore go through with his students”

Aman (Aspiring Data Analyst)

WHY DATA ANALYTICS?

Average entry level data analyst compensation in the US
$ 0 k
Job with the most increasing demand worldwide
# 0
People changed careers from a completely different job
0 %

WHAT IS THE FORMAT OF THE COURSE?

1️⃣ Maths

Without math, data is just a collection of numbers. This is why Mathematics is your key to unlocking the full potential of data analytics. It’s the foundation that allows you to revolutionize businesses, inform decisions, and predict future trends.

2️⃣ Statistics

Statistics is the language of data. Learning this language means you can make data tell its story clearly and compellingly. In a world full of information, the ability to use statistics in your analysis is what sets the true data analytics professionals apart from the beginners.

CERTIFICATE OF COMPLETION

Show the world you are Job Ready.

Information overload is real, and that’s why my course offers a curated, step-by-step learning path, guiding you each step of the way. We will cover only what is really needed in the workplace today.

WHAT'S INSIDE THE COURSE?

1. Foundational Mathematics for Data Analytics

📖 Lessons

  1. Introduction to Mathematics in Data Analytics
    • The importance of mathematics in data analytics
    • Overview of the course structure and learning outcomes
  2. Basic Arithmetic and Algebra
    • Fundamentals of arithmetic operations
    • Introduction to algebraic expressions and equations
    • Practical exercises: Applying basic operations and algebra in data analytics scenarios
  3. Maths applied to Data Analytics
    • Calculating proportions and understanding their significance in data
    • Year-over-Year (YoY), Year-to-Date (YTD), cumulative, and rolling and trailing calculations
    • Percent difference: Theory and application
    • Case studies: Analyzing real-world data sets to identify trends and changes

Results

By the end of this module, you’ll equip yourself with the mathematical foundations crucial for data analytics, enabling you to approach data analysis with confidence and precision.

2. Descriptive Statistics

📖 Lessons

  1. Central Tendency and Variability
    • Mean, median, mode: Calculation and comparison
    • Range, variance, standard deviation: Understanding data variability
  2. Exploring Data Distributions
    • Types of distributions (normal, skewed, etc.)
    • The shape of data and its implications

Results

By the end of this module, you’ll master descriptive statistics to effectively summarize and describe the characteristics of data sets, laying the groundwork for deeper data exploration

3. Inferential Statistics

📖 Lessons

  1. Inferentials statistics and tests
    • Master hypothesis testing and the different types of test statistics like the T-Test, Anove and Chi-Square
  2. Regression and Correlation
    • Understanding linear regression and correlation coefficients
    • Practical application: Using regression to predict outcomes

Results

By the end of this module, you’ll learn how to use inferential statistics to identify and analyze relationships between variables using regression and correlation, critical for predictive modeling and data-driven decision-making.

4. Sampling Techniques and Bias

📖 Lessons

  1. Sampling Techniques
    • Probability and non-proability sampling methods
    • Recognizing and mitigating bias in data collection
  2. Bias
    • Recognizing the different bias types critical to build an informed conclusion of your analysis

Results

By the end of this module, you’ll understand the principles of different sampling methods, enhancing your ability to infer and make predictions about larger populations from sample data.

5. Statistics for EDA

📖 Lessons

Hands-on project: Conducting EDA on a provided dataset, using Python and Large Language models to apply the concepts covered in the previous modules

Results

By the end of this module, you’ll develop the skills to conduct thorough exploratory data analysis (EDA), uncovering insights and guiding informed analytical hypotheses.

6. Studying Tips for Self Learning

📖 Lessons

  1. Final Tips for Learning Mathematics and Statistics
    • Strategies for effective learning and application in data analytics
    • Resources for further study and practice

Results

By the end of this module, you’ll gain practical advice and resources for continuous learning in mathematics and statistics, ensuring you remain at the cutting edge of data analytics proficiency.

COURSE FEATURES

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Flexible Education

This course is self-paced and can be completed whenever you prefer.

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High Quality Content

Over 4+ hours of video content, 1 hands-on portfolio project and plenty of exercises.

Fast Turnaround

This is the quickest and most cost-effective route to starting your data career. No other route provides you with such a direct path and teaches you everything you need to know.

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Portfolio Builder

Thanks to our course you will gain a valuable project that you can add to your portfolio and impress recruiters. 

MEET THE INSTRUCTOR

I once found myself in a job that didn’t reasonate with me; it was unfulfilling and far from what I envisioned for my career. The turning point came when I stumbled upon the field of data analytics. I was intrigued and I took the plunge… and it turned out to be one of the best decisions of my life. In just two short years, I skyrocketed from a novice to a Data Analytics Lead at one of the most prestigious tech companies globally. Along the way, I broke the six-figure salary mark, right here in the UK, proving that with the right focus and dedication, a thriving career in this booming industry is within reach. Today, I want to use my story to inspire and help you achieve your dreams in the data world.

WHAT OUR STUDENTS SAY

TO RECAP YOU WILL GET...

The Full Bundle

£ 97
GBP
  • Course Completion Certificate
  • Technical cheat sheets
  • Lifetime access on any Device
  • Direct support from instructor
  • Downloadable Bonus Resources
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FREQUENTLY ASKED QUESTIONS

Who Is the Course Designed For?

This course is perfect for anyone aiming to become a data analyst or business analyst, as well as a pre-requisite for those considering future roles in data science or engineering.

Do I Need Prior Experience Before Joining the Course?

No previous experience in data analytics is necessary. The course is structured to guide complete beginners, with the only prerequisite being basic computer literacy, such as the ability to install software.

What Kind of Support Will I Receive During the Course?

Beyond the instructional content, you’ll have access to direct email support from your instructor. For personalized assistance, one-on-one coaching sessions are available to deepen your understanding.

What Certification Does the Course Offer?

Upon completion, participants receive a Certificate of Completion, a valuable addition to your resume to showcase your newly acquired data analytics skills.

How Long Will I Have Access to the Course?

Lifetime access is granted to all enrollees. This means you can pace your learning according to your schedule and revisit the course material at any time.

How Much Time is Required to Complete the Course?

Typically, students complete the course within 2 to 4 weeks. However, as the course is self-paced, the actual duration can vary based on your commitment and learning speed.

Is the Course Suitable for Beginners Without Experience or a Degree?

Yes, this course is intentionally designed for beginners but also for those with intermediate skills. It comprehensively covers all necessary aspects to kickstart a career in data analytics, irrespective of your educational background or prior work experience.

What Do I Need to Start the Course?

All you need is a computer (Windows or Mac) with a modern operating system and internet connectivity. The course involves practical exercises using real data analytics software, which are integral to the learning process.

How does this course compare to other courses?

Unlike most generic Maths courses, my course is especially focused for business and data roles. Most other courses are too theoretical and disregard the practical applications of Maths and Statistics on your day-to-day tasks as a working professional. That’s why this course is based on real-life examples. Lastly, I’m with you every step of the way – I’m just one message away.

Why Should Someone Choose Data Analytics as a Career Path?

Data Analytics is an increasingly sought-after field due to its lucrative career opportunities, flexible work arrangements, and high demand across various industries. It’s an accessible career path that offers both stability and growth.

With the Popularity of Data Analytics, Is the Field Becoming Oversaturated?

Despite its growing popularity, the demand for skilled data analysts far outstrips the supply. The Bureau of Labor Statistics projects a significant growth in this field, ensuring plenty of opportunities for new entrants.

Is There a Risk of Data Analytics Being Automated by AI or Tools Like ChatGPT?

While AI and tools like ChatGPT are influential, data analytics requires a level of critical thinking and contextual decision-making that goes beyond the capabilities of current automation technologies. AI is more of a tool than a replacement in this field.

Is the course downloadable?

The course is designed for lifetime online access, allowing you to revisit the materials anytime you need. This ensures you always have the most up-to-date content.

Is there a refund policy?

We believe strongly in the value and quality of our course, and we’re committed to providing an exceptional learning experience. As such, we do not offer refunds. This policy allows us to continuously update the course with the latest data analytics trends and tools.

Master Data Analytics and Data Science, the Smart Way.

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